Upload folder using huggingface_hub

config.json

@@ -0,0 +1,55 @@
+{
+  "_name_or_path": "checkpoints/xval_noisy/checkpoint-3750",
+  "architectures": [
+    "MiniCPMV"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "openbmb/MiniCPM-Llama3-V-2_5--configuration_minicpm.MiniCPMVConfig",
+    "AutoModel": "openbmb/MiniCPM-Llama3-V-2_5--modeling_minicpmv.MiniCPMV",
+    "AutoModelForCausalLM": "openbmb/MiniCPM-Llama3-V-2_5--modeling_minicpmv.MiniCPMV"
+  },
+  "batch_vision_input": true,
+  "bos_token_id": 128000,
+  "drop_vision_last_layer": false,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "image_size": 448,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "mm_use_im_start_end": true,
+  "model_type": "minicpmv",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "patch_size": 14,
+  "pretraining_tp": 1,
+  "query_num": 96,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "slice_config": {
+    "max_slice_nums": 12,
+    "model_type": "minicpmv"
+  },
+  "slice_mode": true,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "version": "2.5",
+  "vision_config": {
+    "hidden_size": 1152,
+    "image_size": 980,
+    "intermediate_size": 4304,
+    "model_type": "idefics2",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 27,
+    "patch_size": 14
+  },
+  "vocab_size": 128256
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "transformers_version": "4.41.2"
+}

latest

@@ -0,0 +1 @@
+global_step500

model-00001-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ceb7a22b9b097f50f3751e5ab9a6052fd2f91d720e53f7cdac93cc186a7a1770
+size 4976699000

model-00002-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a97d1a195649daed554e6ad563f2dc682e86a8e0979b23e1448cd4da576e7a8e
+size 4999803136

model-00003-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34343db79bb84823e61a2fbb3fb99e02a3cc901c99e7c73e2a01894c6254aad3
+size 4915916576

model-00004-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad758f1f907b42a646272292f57206f5f05272f01aca26efa0dece12e7b9fbca
+size 2534183192

model.safetensors.index.json

@@ -0,0 +1,752 @@
+{
+  "metadata": {
+    "total_size": 17426514400
+  },
+  "weight_map": {
+    "llm.lm_head.weight": "model-00004-of-00004.safetensors",
+    "llm.model.embed_tokens.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
+    "llm.model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
+    "llm.model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
+    "llm.model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "llm.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "llm.model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "llm.model.norm.weight": "model-00004-of-00004.safetensors",
+    "num_head.down_proj.weight": "model-00004-of-00004.safetensors",
+    "num_head.gate_proj.weight": "model-00004-of-00004.safetensors",
+    "num_head.layernorm.weight": "model-00004-of-00004.safetensors",
+    "num_head.up_proj.weight": "model-00004-of-00004.safetensors",
+    "resampler.attn.in_proj_bias": "model-00004-of-00004.safetensors",
+    "resampler.attn.in_proj_weight": "model-00004-of-00004.safetensors",
+    "resampler.attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "resampler.attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "resampler.kv_proj.weight": "model-00004-of-00004.safetensors",
+    "resampler.ln_kv.bias": "model-00004-of-00004.safetensors",
+    "resampler.ln_kv.weight": "model-00004-of-00004.safetensors",
+    "resampler.ln_post.bias": "model-00004-of-00004.safetensors",
+    "resampler.ln_post.weight": "model-00004-of-00004.safetensors",
+    "resampler.ln_q.bias": "model-00004-of-00004.safetensors",
+    "resampler.ln_q.weight": "model-00004-of-00004.safetensors",
+    "resampler.proj": "model-00004-of-00004.safetensors",
+    "resampler.query": "model-00004-of-00004.safetensors",
+    "vpm.embeddings.patch_embedding.bias": "model-00004-of-00004.safetensors",
+    "vpm.embeddings.patch_embedding.weight": "model-00004-of-00004.safetensors",
+    "vpm.embeddings.position_embedding.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.0.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.1.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.10.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.11.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.12.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.13.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.14.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.15.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.16.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.17.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.18.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.19.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.2.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.20.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.21.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.22.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.23.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.24.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.25.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.26.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.3.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.4.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.5.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.6.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.7.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.8.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.layer_norm1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.layer_norm1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.layer_norm2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.layer_norm2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.mlp.fc1.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.mlp.fc1.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.mlp.fc2.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.mlp.fc2.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.self_attn.out_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.self_attn.out_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
+    "vpm.encoder.layers.9.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
+    "vpm.post_layernorm.bias": "model-00004-of-00004.safetensors",
+    "vpm.post_layernorm.weight": "model-00004-of-00004.safetensors"
+  }
+}

rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:982bd0c16d66c3eece7beee8bddaa14b1c90bf8f69dc67202bcca3b4b9a47099
+size 15920

rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9ab3d337a4af62c2d871c438e02f107e0b3599e7ff42bdbae70fee57532bf66
+size 15920

rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:374fb9bca844476287dfb22c7aed2b0726676bbfe4ef929aed1f904c45c1b993
+size 15920

rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b0074aee8d6261bdc69c1bb9347591668abc62c8dbadf7b6c6e44e1e45e725e
+size 15920

rng_state_4.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5993994131bd68232d145a82a91ee22e7cff3127f0e2d3850f7b980d44f7522e
+size 15920

rng_state_5.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ab132f5317a83aef2f098886ea6e1bc477f11af5f5883e109c74d051bb54d83
+size 15920

rng_state_6.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07fc30ac663319d6299f55aff37788822a73608b821f50d4eec97b6a145bdce5
+size 15920

rng_state_7.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af0ad6fcf811b8d51315dddb4c8a26daed41df9264e1f00a4c7d94d1c40d3ca7
+size 15920

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87ae9f256732795640c7cdc21a942d782d987e2cc9971d1e052a73f1119f6ded
+size 1128

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "!",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,2080 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "!",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128000": {
+      "content": "<|begin_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128001": {
+      "content": "<|end_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128002": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128003": {
+      "content": "<|reserved_special_token_1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128004": {
+      "content": "<|reserved_special_token_2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128005": {
+      "content": "<|reserved_special_token_3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128006": {
+      "content": "<|start_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128007": {
+      "content": "<|end_header_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128008": {
+      "content": "<|reserved_special_token_4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128009": {
+      "content": "<|eot_id|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128010": {
+      "content": "<image>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128011": {
+      "content": "</image>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128012": {
+      "content": "<ref>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128013": {
+      "content": "</ref>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128014": {
+      "content": "<box>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128015": {
+      "content": "</box>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128016": {
+      "content": "<quad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128017": {
+      "content": "</quad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128018": {
+      "content": "<point>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128019": {
+      "content": "</point>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128020": {
+      "content": "<slice>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128021": {
+      "content": "</slice>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128022": {
+      "content": "<|reserved_special_token_17|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128023": {
+      "content": "<|reserved_special_token_18|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128024": {
+      "content": "<|reserved_special_token_19|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128025": {
+      "content": "<|reserved_special_token_20|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128026": {
+      "content": "<|reserved_special_token_21|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128027": {
+      "content": "<|reserved_special_token_22|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128028": {
+      "content": "<|reserved_special_token_23|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128029": {
+      "content": "<|reserved_special_token_24|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128030": {
+      "content": "<|reserved_special_token_25|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128031": {
+      "content": "<|reserved_special_token_26|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128032": {
+      "content": "<|reserved_special_token_27|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128033": {
+      "content": "<|reserved_special_token_28|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128034": {
+      "content": "<|reserved_special_token_29|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128035": {
+      "content": "<|reserved_special_token_30|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128036": {
+      "content": "<|reserved_special_token_31|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128037": {
+      "content": "<|reserved_special_token_32|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128038": {
+      "content": "<|reserved_special_token_33|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128039": {
+      "content": "<|reserved_special_token_34|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128040": {
+      "content": "<|reserved_special_token_35|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128041": {
+      "content": "<|reserved_special_token_36|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128042": {
+      "content": "<|reserved_special_token_37|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128043": {
+      "content": "<|reserved_special_token_38|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128044": {
+      "content": "<|reserved_special_token_39|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128045": {
+      "content": "<|reserved_special_token_40|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128046": {
+      "content": "<|reserved_special_token_41|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128047": {
+      "content": "<|reserved_special_token_42|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128048": {
+      "content": "<|reserved_special_token_43|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128049": {
+      "content": "<|reserved_special_token_44|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128050": {
+      "content": "<|reserved_special_token_45|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128051": {
+      "content": "<|reserved_special_token_46|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128052": {
+      "content": "<|reserved_special_token_47|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128053": {
+      "content": "<|reserved_special_token_48|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128054": {
+      "content": "<|reserved_special_token_49|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128055": {
+      "content": "<|reserved_special_token_50|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128056": {
+      "content": "<|reserved_special_token_51|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128057": {
+      "content": "<|reserved_special_token_52|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128058": {
+      "content": "<|reserved_special_token_53|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128059": {
+      "content": "<|reserved_special_token_54|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128060": {
+      "content": "<|reserved_special_token_55|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128061": {
+      "content": "<|reserved_special_token_56|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128062": {
+      "content": "<|reserved_special_token_57|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128063": {
+      "content": "<|reserved_special_token_58|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128064": {
+      "content": "<|reserved_special_token_59|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128065": {
+      "content": "<|reserved_special_token_60|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128066": {
+      "content": "<|reserved_special_token_61|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128067": {
+      "content": "<|reserved_special_token_62|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128068": {
+      "content": "<|reserved_special_token_63|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128069": {
+      "content": "<|reserved_special_token_64|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128070": {
+      "content": "<|reserved_special_token_65|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128071": {
+      "content": "<|reserved_special_token_66|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128072": {
+      "content": "<|reserved_special_token_67|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128073": {
+      "content": "<|reserved_special_token_68|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128074": {
+      "content": "<|reserved_special_token_69|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128075": {
+      "content": "<|reserved_special_token_70|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128076": {
+      "content": "<|reserved_special_token_71|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128077": {
+      "content": "<|reserved_special_token_72|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128078": {
+      "content": "<|reserved_special_token_73|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128079": {
+      "content": "<|reserved_special_token_74|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128080": {
+      "content": "<|reserved_special_token_75|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128081": {
+      "content": "<|reserved_special_token_76|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128082": {
+      "content": "<|reserved_special_token_77|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128083": {
+      "content": "<|reserved_special_token_78|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128084": {
+      "content": "<|reserved_special_token_79|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128085": {
+      "content": "<|reserved_special_token_80|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128086": {
+      "content": "<|reserved_special_token_81|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128087": {
+      "content": "<|reserved_special_token_82|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128088": {
+      "content": "<|reserved_special_token_83|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128089": {
+      "content": "<|reserved_special_token_84|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128090": {
+      "content": "<|reserved_special_token_85|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128091": {
+      "content": "<|reserved_special_token_86|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128092": {
+      "content": "<|reserved_special_token_87|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128093": {
+      "content": "<|reserved_special_token_88|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128094": {
+      "content": "<|reserved_special_token_89|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128095": {
+      "content": "<|reserved_special_token_90|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128096": {
+      "content": "<|reserved_special_token_91|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128097": {
+      "content": "<|reserved_special_token_92|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128098": {
+      "content": "<|reserved_special_token_93|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128099": {
+      "content": "<|reserved_special_token_94|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128100": {
+      "content": "<|reserved_special_token_95|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128101": {
+      "content": "<|reserved_special_token_96|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128102": {
+      "content": "<|reserved_special_token_97|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128103": {
+      "content": "<|reserved_special_token_98|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128104": {
+      "content": "<|reserved_special_token_99|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128105": {
+      "content": "<|reserved_special_token_100|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128106": {
+      "content": "<|reserved_special_token_101|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128107": {
+      "content": "<|reserved_special_token_102|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128108": {
+      "content": "<|reserved_special_token_103|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128109": {
+      "content": "<|reserved_special_token_104|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128110": {
+      "content": "<|reserved_special_token_105|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128111": {
+      "content": "<|reserved_special_token_106|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128112": {
+      "content": "<|reserved_special_token_107|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128113": {
+      "content": "<|reserved_special_token_108|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128114": {
+      "content": "<|reserved_special_token_109|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128115": {
+      "content": "<|reserved_special_token_110|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128116": {
+      "content": "<|reserved_special_token_111|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128117": {
+      "content": "<|reserved_special_token_112|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128118": {
+      "content": "<|reserved_special_token_113|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128119": {
+      "content": "<|reserved_special_token_114|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128120": {
+      "content": "<|reserved_special_token_115|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128121": {
+      "content": "<|reserved_special_token_116|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128122": {
+      "content": "<|reserved_special_token_117|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128123": {
+      "content": "<|reserved_special_token_118|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128124": {
+      "content": "<|reserved_special_token_119|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128125": {
+      "content": "<|reserved_special_token_120|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128126": {
+      "content": "<|reserved_special_token_121|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128127": {
+      "content": "<|reserved_special_token_122|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128128": {
+      "content": "<|reserved_special_token_123|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128129": {
+      "content": "<|reserved_special_token_124|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128130": {
+      "content": "<|reserved_special_token_125|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128131": {
+      "content": "<|reserved_special_token_126|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128132": {
+      "content": "<|reserved_special_token_127|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128133": {
+      "content": "<|reserved_special_token_128|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128134": {
+      "content": "<|reserved_special_token_129|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128135": {
+      "content": "<|reserved_special_token_130|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128136": {
+      "content": "<|reserved_special_token_131|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128137": {
+      "content": "<|reserved_special_token_132|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128138": {
+      "content": "<|reserved_special_token_133|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128139": {
+      "content": "<|reserved_special_token_134|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128140": {
+      "content": "<|reserved_special_token_135|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128141": {
+      "content": "<|reserved_special_token_136|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128142": {
+      "content": "<|reserved_special_token_137|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128143": {
+      "content": "<|reserved_special_token_138|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128144": {
+      "content": "<|reserved_special_token_139|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128145": {
+      "content": "<|reserved_special_token_140|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128146": {
+      "content": "<|reserved_special_token_141|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128147": {
+      "content": "<|reserved_special_token_142|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128148": {
+      "content": "<|reserved_special_token_143|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128149": {
+      "content": "<|reserved_special_token_144|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128150": {
+      "content": "<|reserved_special_token_145|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128151": {
+      "content": "<|reserved_special_token_146|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128152": {
+      "content": "<|reserved_special_token_147|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128153": {
+      "content": "<|reserved_special_token_148|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128154": {
+      "content": "<|reserved_special_token_149|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128155": {
+      "content": "<|reserved_special_token_150|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128156": {
+      "content": "<|reserved_special_token_151|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128157": {
+      "content": "<|reserved_special_token_152|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128158": {
+      "content": "<|reserved_special_token_153|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128159": {
+      "content": "<|reserved_special_token_154|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128160": {
+      "content": "<|reserved_special_token_155|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128161": {
+      "content": "<|reserved_special_token_156|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128162": {
+      "content": "<|reserved_special_token_157|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128163": {
+      "content": "<|reserved_special_token_158|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128164": {
+      "content": "<|reserved_special_token_159|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128165": {
+      "content": "<|reserved_special_token_160|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128166": {
+      "content": "<|reserved_special_token_161|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128167": {
+      "content": "<|reserved_special_token_162|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128168": {
+      "content": "<|reserved_special_token_163|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128169": {
+      "content": "<|reserved_special_token_164|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128170": {
+      "content": "<|reserved_special_token_165|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128171": {
+      "content": "<|reserved_special_token_166|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128172": {
+      "content": "<|reserved_special_token_167|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128173": {
+      "content": "<|reserved_special_token_168|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128174": {
+      "content": "<|reserved_special_token_169|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128175": {
+      "content": "<|reserved_special_token_170|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128176": {
+      "content": "<|reserved_special_token_171|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128177": {
+      "content": "<|reserved_special_token_172|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128178": {
+      "content": "<|reserved_special_token_173|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128179": {
+      "content": "<|reserved_special_token_174|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128180": {
+      "content": "<|reserved_special_token_175|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128181": {
+      "content": "<|reserved_special_token_176|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128182": {
+      "content": "<|reserved_special_token_177|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128183": {
+      "content": "<|reserved_special_token_178|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128184": {
+      "content": "<|reserved_special_token_179|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128185": {
+      "content": "<|reserved_special_token_180|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128186": {
+      "content": "<|reserved_special_token_181|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128187": {
+      "content": "<|reserved_special_token_182|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128188": {
+      "content": "<|reserved_special_token_183|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128189": {
+      "content": "<|reserved_special_token_184|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128190": {
+      "content": "<|reserved_special_token_185|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128191": {
+      "content": "<|reserved_special_token_186|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128192": {
+      "content": "<|reserved_special_token_187|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128193": {
+      "content": "<|reserved_special_token_188|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128194": {
+      "content": "<|reserved_special_token_189|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128195": {
+      "content": "<|reserved_special_token_190|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128196": {
+      "content": "<|reserved_special_token_191|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128197": {
+      "content": "<|reserved_special_token_192|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128198": {
+      "content": "<|reserved_special_token_193|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128199": {
+      "content": "<|reserved_special_token_194|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128200": {
+      "content": "<|reserved_special_token_195|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128201": {
+      "content": "<|reserved_special_token_196|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128202": {
+      "content": "<|reserved_special_token_197|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128203": {
+      "content": "<|reserved_special_token_198|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128204": {
+      "content": "<|reserved_special_token_199|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128205": {
+      "content": "<|reserved_special_token_200|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128206": {
+      "content": "<|reserved_special_token_201|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128207": {
+      "content": "<|reserved_special_token_202|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128208": {
+      "content": "<|reserved_special_token_203|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128209": {
+      "content": "<|reserved_special_token_204|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128210": {
+      "content": "<|reserved_special_token_205|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128211": {
+      "content": "<|reserved_special_token_206|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128212": {
+      "content": "<|reserved_special_token_207|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128213": {
+      "content": "<|reserved_special_token_208|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128214": {
+      "content": "<|reserved_special_token_209|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128215": {
+      "content": "<|reserved_special_token_210|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128216": {
+      "content": "<|reserved_special_token_211|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128217": {
+      "content": "<|reserved_special_token_212|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128218": {
+      "content": "<|reserved_special_token_213|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128219": {
+      "content": "<|reserved_special_token_214|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128220": {
+      "content": "<|reserved_special_token_215|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128221": {
+      "content": "<|reserved_special_token_216|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128222": {
+      "content": "<|reserved_special_token_217|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128223": {
+      "content": "<|reserved_special_token_218|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128224": {
+      "content": "<|reserved_special_token_219|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128225": {
+      "content": "<|reserved_special_token_220|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128226": {
+      "content": "<|reserved_special_token_221|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128227": {
+      "content": "<|reserved_special_token_222|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128228": {
+      "content": "<|reserved_special_token_223|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128229": {
+      "content": "<|reserved_special_token_224|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128230": {
+      "content": "<|reserved_special_token_225|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128231": {
+      "content": "<|reserved_special_token_226|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128232": {
+      "content": "<|reserved_special_token_227|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128233": {
+      "content": "<|reserved_special_token_228|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128234": {
+      "content": "<|reserved_special_token_229|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128235": {
+      "content": "<|reserved_special_token_230|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128236": {
+      "content": "<|reserved_special_token_231|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128237": {
+      "content": "<|reserved_special_token_232|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128238": {
+      "content": "<|reserved_special_token_233|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128239": {
+      "content": "<|reserved_special_token_234|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128240": {
+      "content": "<|reserved_special_token_235|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128241": {
+      "content": "<|reserved_special_token_236|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128242": {
+      "content": "<|reserved_special_token_237|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128243": {
+      "content": "<|reserved_special_token_238|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128244": {
+      "content": "<|reserved_special_token_239|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128245": {
+      "content": "<|reserved_special_token_240|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128246": {
+      "content": "<|reserved_special_token_241|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128247": {
+      "content": "<|reserved_special_token_242|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128248": {
+      "content": "<|reserved_special_token_243|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128249": {
+      "content": "<|reserved_special_token_244|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128250": {
+      "content": "<|reserved_special_token_245|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128251": {
+      "content": "<|reserved_special_token_246|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128252": {
+      "content": "<|reserved_special_token_247|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128253": {
+      "content": "<NUM>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128254": {
+      "content": "<coords>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "128255": {
+      "content": "</coords>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "auto_map": {
+    "AutoTokenizer": [
+      "modeling_minicpmv.PreTrainedTokenizerFastWrapper",
+      null
+    ]
+  },
+  "bos_token": "<|begin_of_text|>",
+  "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|end_of_text|>",
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "!",
+  "padding_side": "right",
+  "tokenizer_class": "PreTrainedTokenizerFastWrapper",
+  "truncation_side": "right",
+  "unk_token": "<unk>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8573e2670cd5e57806ff832d8e3a8b11d231fd34923023bc380d9ddf515a01c
+size 7160

zero_to_fp32.py

@@ -0,0 +1,604 @@
+#!/usr/bin/env python
+
+# Copyright (c) Microsoft Corporation.
+# SPDX-License-Identifier: Apache-2.0
+
+# DeepSpeed Team
+
+# This script extracts fp32 consolidated weights from a zero 1, 2 and 3 DeepSpeed checkpoints. It gets
+# copied into the top level checkpoint dir, so the user can easily do the conversion at any point in
+# the future. Once extracted, the weights don't require DeepSpeed and can be used in any
+# application.
+#
+# example: python zero_to_fp32.py . pytorch_model.bin
+
+import argparse
+import torch
+import glob
+import math
+import os
+import re
+from collections import OrderedDict
+from dataclasses import dataclass
+
+# while this script doesn't use deepspeed to recover data, since the checkpoints are pickled with
+# DeepSpeed data structures it has to be available in the current python environment.
+from deepspeed.utils import logger
+from deepspeed.checkpoint.constants import (DS_VERSION, OPTIMIZER_STATE_DICT, SINGLE_PARTITION_OF_FP32_GROUPS,
+                                            FP32_FLAT_GROUPS, ZERO_STAGE, PARTITION_COUNT, PARAM_SHAPES, BUFFER_NAMES,
+                                            FROZEN_PARAM_SHAPES, FROZEN_PARAM_FRAGMENTS)
+
+
+@dataclass
+class zero_model_state:
+    buffers: dict()
+    param_shapes: dict()
+    shared_params: list
+    ds_version: int
+    frozen_param_shapes: dict()
+    frozen_param_fragments: dict()
+
+
+debug = 0
+
+# load to cpu
+device = torch.device('cpu')
+
+
+def atoi(text):
+    return int(text) if text.isdigit() else text
+
+
+def natural_keys(text):
+    '''
+    alist.sort(key=natural_keys) sorts in human order
+    http://nedbatchelder.com/blog/200712/human_sorting.html
+    (See Toothy's implementation in the comments)
+    '''
+    return [atoi(c) for c in re.split(r'(\d+)', text)]
+
+
+def get_model_state_file(checkpoint_dir, zero_stage):
+    if not os.path.isdir(checkpoint_dir):
+        raise FileNotFoundError(f"Directory '{checkpoint_dir}' doesn't exist")
+
+    # there should be only one file
+    if zero_stage <= 2:
+        file = os.path.join(checkpoint_dir, "mp_rank_00_model_states.pt")
+    elif zero_stage == 3:
+        file = os.path.join(checkpoint_dir, "zero_pp_rank_0_mp_rank_00_model_states.pt")
+
+    if not os.path.exists(file):
+        raise FileNotFoundError(f"can't find model states file at '{file}'")
+
+    return file
+
+
+def get_checkpoint_files(checkpoint_dir, glob_pattern):
+    # XXX: need to test that this simple glob rule works for multi-node setup too
+    ckpt_files = sorted(glob.glob(os.path.join(checkpoint_dir, glob_pattern)), key=natural_keys)
+
+    if len(ckpt_files) == 0:
+        raise FileNotFoundError(f"can't find {glob_pattern} files in directory '{checkpoint_dir}'")
+
+    return ckpt_files
+
+
+def get_optim_files(checkpoint_dir):
+    return get_checkpoint_files(checkpoint_dir, "*_optim_states.pt")
+
+
+def get_model_state_files(checkpoint_dir):
+    return get_checkpoint_files(checkpoint_dir, "*_model_states.pt")
+
+
+def parse_model_states(files):
+    zero_model_states = []
+    for file in files:
+        state_dict = torch.load(file, map_location=device)
+
+        if BUFFER_NAMES not in state_dict:
+            raise ValueError(f"{file} is not a model state checkpoint")
+        buffer_names = state_dict[BUFFER_NAMES]
+        if debug:
+            print("Found buffers:", buffer_names)
+
+        # recover just the buffers while restoring them to fp32 if they were saved in fp16
+        buffers = {k: v.float() for k, v in state_dict["module"].items() if k in buffer_names}
+        param_shapes = state_dict[PARAM_SHAPES]
+
+        # collect parameters that are included in param_shapes
+        param_names = []
+        for s in param_shapes:
+            for name in s.keys():
+                param_names.append(name)
+
+        # update with frozen parameters
+        frozen_param_shapes = state_dict.get(FROZEN_PARAM_SHAPES, None)
+        if frozen_param_shapes is not None:
+            if debug:
+                print(f"Found frozen_param_shapes: {frozen_param_shapes}")
+            param_names += list(frozen_param_shapes.keys())
+
+        # handle shared params
+        shared_params = [[k, v] for k, v in state_dict["shared_params"].items()]
+
+        ds_version = state_dict.get(DS_VERSION, None)
+
+        frozen_param_fragments = state_dict.get(FROZEN_PARAM_FRAGMENTS, None)
+
+        z_model_state = zero_model_state(buffers=buffers,
+                                         param_shapes=param_shapes,
+                                         shared_params=shared_params,
+                                         ds_version=ds_version,
+                                         frozen_param_shapes=frozen_param_shapes,
+                                         frozen_param_fragments=frozen_param_fragments)
+        zero_model_states.append(z_model_state)
+
+    return zero_model_states
+
+
+def parse_optim_states(files, ds_checkpoint_dir):
+
+    total_files = len(files)
+    state_dicts = []
+    for f in files:
+        state_dict = torch.load(f, map_location=device)
+        # immediately discard the potentially huge 2 optimizer states as we only care for fp32 master weights
+        # and also handle the case where it was already removed by another helper script
+        state_dict["optimizer_state_dict"].pop("optimizer_state_dict", None)
+        state_dicts.append(state_dict)
+
+    if not ZERO_STAGE in state_dicts[0][OPTIMIZER_STATE_DICT]:
+        raise ValueError(f"{files[0]} is not a zero checkpoint")
+    zero_stage = state_dicts[0][OPTIMIZER_STATE_DICT][ZERO_STAGE]
+    world_size = state_dicts[0][OPTIMIZER_STATE_DICT][PARTITION_COUNT]
+
+    # For ZeRO-2 each param group can have different partition_count as data parallelism for expert
+    # parameters can be different from data parallelism for non-expert parameters. So we can just
+    # use the max of the partition_count to get the dp world_size.
+
+    if type(world_size) is list:
+        world_size = max(world_size)
+
+    if world_size != total_files:
+        raise ValueError(
+            f"Expected {world_size} of '*_optim_states.pt' under '{ds_checkpoint_dir}' but found {total_files} files. "
+            "Possibly due to an overwrite of an old checkpoint, or a checkpoint didn't get saved by one or more processes."
+        )
+
+    # the groups are named differently in each stage
+    if zero_stage <= 2:
+        fp32_groups_key = SINGLE_PARTITION_OF_FP32_GROUPS
+    elif zero_stage == 3:
+        fp32_groups_key = FP32_FLAT_GROUPS
+    else:
+        raise ValueError(f"unknown zero stage {zero_stage}")
+
+    if zero_stage <= 2:
+        fp32_flat_groups = [state_dicts[i][OPTIMIZER_STATE_DICT][fp32_groups_key] for i in range(len(state_dicts))]
+    elif zero_stage == 3:
+        # if there is more than one param group, there will be multiple flattened tensors - one
+        # flattened tensor per group - for simplicity merge them into a single tensor
+        #
+        # XXX: could make the script more memory efficient for when there are multiple groups - it
+        # will require matching the sub-lists of param_shapes for each param group flattened tensor
+
+        fp32_flat_groups = [
+            torch.cat(state_dicts[i][OPTIMIZER_STATE_DICT][fp32_groups_key], 0) for i in range(len(state_dicts))
+        ]
+
+    return zero_stage, world_size, fp32_flat_groups
+
+
+def _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir, exclude_frozen_parameters):
+    """
+    Returns fp32 state_dict reconstructed from ds checkpoint
+
+    Args:
+        - ``ds_checkpoint_dir``: path to the deepspeed checkpoint folder (where the optimizer files are)
+
+    """
+    print(f"Processing zero checkpoint '{ds_checkpoint_dir}'")
+
+    optim_files = get_optim_files(ds_checkpoint_dir)
+    zero_stage, world_size, fp32_flat_groups = parse_optim_states(optim_files, ds_checkpoint_dir)
+    print(f"Detected checkpoint of type zero stage {zero_stage}, world_size: {world_size}")
+
+    model_files = get_model_state_files(ds_checkpoint_dir)
+
+    zero_model_states = parse_model_states(model_files)
+    print(f'Parsing checkpoint created by deepspeed=={zero_model_states[0].ds_version}')
+
+    if zero_stage <= 2:
+        return _get_fp32_state_dict_from_zero2_checkpoint(world_size, fp32_flat_groups, zero_model_states,
+                                                          exclude_frozen_parameters)
+    elif zero_stage == 3:
+        return _get_fp32_state_dict_from_zero3_checkpoint(world_size, fp32_flat_groups, zero_model_states,
+                                                          exclude_frozen_parameters)
+
+
+def _zero2_merge_frozen_params(state_dict, zero_model_states):
+    if zero_model_states[0].frozen_param_shapes is None or len(zero_model_states[0].frozen_param_shapes) == 0:
+        return
+
+    frozen_param_shapes = zero_model_states[0].frozen_param_shapes
+    frozen_param_fragments = zero_model_states[0].frozen_param_fragments
+
+    if debug:
+        num_elem = sum(s.numel() for s in frozen_param_shapes.values())
+        print(f'rank 0: {FROZEN_PARAM_SHAPES}.numel = {num_elem}')
+
+        wanted_params = len(frozen_param_shapes)
+        wanted_numel = sum(s.numel() for s in frozen_param_shapes.values())
+        avail_numel = sum([p.numel() for p in frozen_param_fragments.values()])
+        print(f'Frozen params: Have {avail_numel} numels to process.')
+        print(f'Frozen params: Need {wanted_numel} numels in {wanted_params} params')
+
+    total_params = 0
+    total_numel = 0
+    for name, shape in frozen_param_shapes.items():
+        total_params += 1
+        unpartitioned_numel = shape.numel()
+        total_numel += unpartitioned_numel
+
+        state_dict[name] = frozen_param_fragments[name]
+
+        if debug:
+            print(f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} ")
+
+    print(f"Reconstructed Frozen fp32 state dict with {total_params} params {total_numel} elements")
+
+
+def _has_callable(obj, fn):
+    attr = getattr(obj, fn, None)
+    return callable(attr)
+
+
+def _zero2_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states):
+    param_shapes = zero_model_states[0].param_shapes
+
+    # Reconstruction protocol:
+    #
+    # XXX: document this
+
+    if debug:
+        for i in range(world_size):
+            for j in range(len(fp32_flat_groups[0])):
+                print(f"{FP32_FLAT_GROUPS}[{i}][{j}].shape={fp32_flat_groups[i][j].shape}")
+
+    # XXX: memory usage doubles here (zero2)
+    num_param_groups = len(fp32_flat_groups[0])
+    merged_single_partition_of_fp32_groups = []
+    for i in range(num_param_groups):
+        merged_partitions = [sd[i] for sd in fp32_flat_groups]
+        full_single_fp32_vector = torch.cat(merged_partitions, 0)
+        merged_single_partition_of_fp32_groups.append(full_single_fp32_vector)
+    avail_numel = sum(
+        [full_single_fp32_vector.numel() for full_single_fp32_vector in merged_single_partition_of_fp32_groups])
+
+    if debug:
+        wanted_params = sum([len(shapes) for shapes in param_shapes])
+        wanted_numel = sum([sum(shape.numel() for shape in shapes.values()) for shapes in param_shapes])
+        # not asserting if there is a mismatch due to possible padding
+        print(f"Have {avail_numel} numels to process.")
+        print(f"Need {wanted_numel} numels in {wanted_params} params.")
+
+    # params
+    # XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
+    # out-of-core computing solution
+    total_numel = 0
+    total_params = 0
+    for shapes, full_single_fp32_vector in zip(param_shapes, merged_single_partition_of_fp32_groups):
+        offset = 0
+        avail_numel = full_single_fp32_vector.numel()
+        for name, shape in shapes.items():
+
+            unpartitioned_numel = shape.numel() if _has_callable(shape, 'numel') else math.prod(shape)
+            total_numel += unpartitioned_numel
+            total_params += 1
+
+            if debug:
+                print(f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} ")
+            state_dict[name] = full_single_fp32_vector.narrow(0, offset, unpartitioned_numel).view(shape)
+            offset += unpartitioned_numel
+
+        # Z2 started to align to 2*world_size to improve nccl performance. Therefore both offset and
+        # avail_numel can differ by anywhere between 0..2*world_size. Due to two unrelated complex
+        # paddings performed in the code it's almost impossible to predict the exact numbers w/o the
+        # live optimizer object, so we are checking that the numbers are within the right range
+        align_to = 2 * world_size
+
+        def zero2_align(x):
+            return align_to * math.ceil(x / align_to)
+
+        if debug:
+            print(f"original offset={offset}, avail_numel={avail_numel}")
+
+        offset = zero2_align(offset)
+        avail_numel = zero2_align(avail_numel)
+
+        if debug:
+            print(f"aligned  offset={offset}, avail_numel={avail_numel}")
+
+        # Sanity check
+        if offset != avail_numel:
+            raise ValueError(f"consumed {offset} numels out of {avail_numel} - something is wrong")
+
+    print(f"Reconstructed fp32 state dict with {total_params} params {total_numel} elements")
+
+
+def _get_fp32_state_dict_from_zero2_checkpoint(world_size, fp32_flat_groups, zero_model_states,
+                                               exclude_frozen_parameters):
+    state_dict = OrderedDict()
+
+    # buffers
+    buffers = zero_model_states[0].buffers
+    state_dict.update(buffers)
+    if debug:
+        print(f"added {len(buffers)} buffers")
+
+    if not exclude_frozen_parameters:
+        _zero2_merge_frozen_params(state_dict, zero_model_states)
+
+    _zero2_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states)
+
+    # recover shared parameters
+    for pair in zero_model_states[0].shared_params:
+        if pair[1] in state_dict:
+            state_dict[pair[0]] = state_dict[pair[1]]
+
+    return state_dict
+
+
+def zero3_partitioned_param_info(unpartitioned_numel, world_size):
+    remainder = unpartitioned_numel % world_size
+    padding_numel = (world_size - remainder) if remainder else 0
+    partitioned_numel = math.ceil(unpartitioned_numel / world_size)
+    return partitioned_numel, padding_numel
+
+
+def _zero3_merge_frozen_params(state_dict, world_size, zero_model_states):
+    if zero_model_states[0].frozen_param_shapes is None or len(zero_model_states[0].frozen_param_shapes) == 0:
+        return
+
+    if debug:
+        for i in range(world_size):
+            num_elem = sum(s.numel() for s in zero_model_states[i].frozen_param_fragments.values())
+            print(f'rank {i}: {FROZEN_PARAM_SHAPES}.numel = {num_elem}')
+
+        frozen_param_shapes = zero_model_states[0].frozen_param_shapes
+        wanted_params = len(frozen_param_shapes)
+        wanted_numel = sum(s.numel() for s in frozen_param_shapes.values())
+        avail_numel = sum([p.numel() for p in zero_model_states[0].frozen_param_fragments.values()]) * world_size
+        print(f'Frozen params: Have {avail_numel} numels to process.')
+        print(f'Frozen params: Need {wanted_numel} numels in {wanted_params} params')
+
+    total_params = 0
+    total_numel = 0
+    for name, shape in zero_model_states[0].frozen_param_shapes.items():
+        total_params += 1
+        unpartitioned_numel = shape.numel()
+        total_numel += unpartitioned_numel
+
+        param_frags = tuple(model_state.frozen_param_fragments[name] for model_state in zero_model_states)
+        state_dict[name] = torch.cat(param_frags, 0).narrow(0, 0, unpartitioned_numel).view(shape)
+
+        partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
+
+        if debug:
+            print(
+                f"Frozen params: {total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
+            )
+
+    print(f"Reconstructed Frozen fp32 state dict with {total_params} params {total_numel} elements")
+
+
+def _zero3_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states):
+    param_shapes = zero_model_states[0].param_shapes
+    avail_numel = fp32_flat_groups[0].numel() * world_size
+    # Reconstruction protocol: For zero3 we need to zip the partitions together at boundary of each
+    # param, re-consolidating each param, while dealing with padding if any
+
+    # merge list of dicts, preserving order
+    param_shapes = {k: v for d in param_shapes for k, v in d.items()}
+
+    if debug:
+        for i in range(world_size):
+            print(f"{FP32_FLAT_GROUPS}[{i}].shape={fp32_flat_groups[i].shape}")
+
+        wanted_params = len(param_shapes)
+        wanted_numel = sum(shape.numel() for shape in param_shapes.values())
+        # not asserting if there is a mismatch due to possible padding
+        avail_numel = fp32_flat_groups[0].numel() * world_size
+        print(f"Trainable params: Have {avail_numel} numels to process.")
+        print(f"Trainable params: Need {wanted_numel} numels in {wanted_params} params.")
+
+    # params
+    # XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
+    # out-of-core computing solution
+    offset = 0
+    total_numel = 0
+    total_params = 0
+    for name, shape in param_shapes.items():
+
+        unpartitioned_numel = shape.numel()
+        total_numel += unpartitioned_numel
+        total_params += 1
+
+        partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
+
+        if debug:
+            print(
+                f"Trainable params: {total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
+            )
+
+        # XXX: memory usage doubles here
+        state_dict[name] = torch.cat(
+            tuple(fp32_flat_groups[i].narrow(0, offset, partitioned_numel) for i in range(world_size)),
+            0).narrow(0, 0, unpartitioned_numel).view(shape)
+        offset += partitioned_numel
+
+    offset *= world_size
+
+    # Sanity check
+    if offset != avail_numel:
+        raise ValueError(f"consumed {offset} numels out of {avail_numel} - something is wrong")
+
+    print(f"Reconstructed Trainable fp32 state dict with {total_params} params {total_numel} elements")
+
+
+def _get_fp32_state_dict_from_zero3_checkpoint(world_size, fp32_flat_groups, zero_model_states,
+                                               exclude_frozen_parameters):
+    state_dict = OrderedDict()
+
+    # buffers
+    buffers = zero_model_states[0].buffers
+    state_dict.update(buffers)
+    if debug:
+        print(f"added {len(buffers)} buffers")
+
+    if not exclude_frozen_parameters:
+        _zero3_merge_frozen_params(state_dict, world_size, zero_model_states)
+
+    _zero3_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states)
+
+    # recover shared parameters
+    for pair in zero_model_states[0].shared_params:
+        if pair[1] in state_dict:
+            state_dict[pair[0]] = state_dict[pair[1]]
+
+    return state_dict
+
+
+def get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag=None, exclude_frozen_parameters=False):
+    """
+    Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated state_dict that can be loaded with
+    ``load_state_dict()`` and used for training without DeepSpeed or shared with others, for example
+    via a model hub.
+
+    Args:
+        - ``checkpoint_dir``: path to the desired checkpoint folder
+        - ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in 'latest' file. e.g., ``global_step14``
+        - ``exclude_frozen_parameters``: exclude frozen parameters
+
+    Returns:
+        - pytorch ``state_dict``
+
+    Note: this approach may not work if your application doesn't have sufficient free CPU memory and
+    you may need to use the offline approach using the ``zero_to_fp32.py`` script that is saved with
+    the checkpoint.
+
+    A typical usage might be ::
+
+        from deepspeed.utils.zero_to_fp32 import get_fp32_state_dict_from_zero_checkpoint
+        # do the training and checkpoint saving
+        state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir) # already on cpu
+        model = model.cpu() # move to cpu
+        model.load_state_dict(state_dict)
+        # submit to model hub or save the model to share with others
+
+    In this example the ``model`` will no longer be usable in the deepspeed context of the same
+    application. i.e. you will need to re-initialize the deepspeed engine, since
+    ``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
+
+    If you want it all done for you, use ``load_state_dict_from_zero_checkpoint`` instead.
+
+    """
+    if tag is None:
+        latest_path = os.path.join(checkpoint_dir, 'latest')
+        if os.path.isfile(latest_path):
+            with open(latest_path, 'r') as fd:
+                tag = fd.read().strip()
+        else:
+            raise ValueError(f"Unable to find 'latest' file at {latest_path}")
+
+    ds_checkpoint_dir = os.path.join(checkpoint_dir, tag)
+
+    if not os.path.isdir(ds_checkpoint_dir):
+        raise FileNotFoundError(f"Directory '{ds_checkpoint_dir}' doesn't exist")
+
+    return _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir, exclude_frozen_parameters)
+
+
+def convert_zero_checkpoint_to_fp32_state_dict(checkpoint_dir, output_file, tag=None, exclude_frozen_parameters=False):
+    """
+    Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict`` file that can be
+    loaded with ``torch.load(file)`` + ``load_state_dict()`` and used for training without DeepSpeed.
+
+    Args:
+        - ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
+        - ``output_file``: path to the pytorch fp32 state_dict output file (e.g. path/pytorch_model.bin)
+        - ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
+        - ``exclude_frozen_parameters``: exclude frozen parameters
+    """
+
+    state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag, exclude_frozen_parameters)
+    print(f"Saving fp32 state dict to {output_file}")
+    torch.save(state_dict, output_file)
+
+
+def load_state_dict_from_zero_checkpoint(model, checkpoint_dir, tag=None):
+    """
+    1. Put the provided model to cpu
+    2. Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict``
+    3. Load it into the provided model
+
+    Args:
+        - ``model``: the model object to update
+        - ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
+        - ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
+
+    Returns:
+        - ``model`: modified model
+
+    Make sure you have plenty of CPU memory available before you call this function. If you don't
+    have enough use the ``zero_to_fp32.py`` utility to do the conversion. You will find it
+    conveniently placed for you in the checkpoint folder.
+
+    A typical usage might be ::
+
+        from deepspeed.utils.zero_to_fp32 import load_state_dict_from_zero_checkpoint
+        model = load_state_dict_from_zero_checkpoint(trainer.model, checkpoint_dir)
+        # submit to model hub or save the model to share with others
+
+    Note, that once this was run, the ``model`` will no longer be usable in the deepspeed context
+    of the same application. i.e. you will need to re-initialize the deepspeed engine, since
+    ``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
+
+    """
+    logger.info(f"Extracting fp32 weights")
+    state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag)
+
+    logger.info(f"Overwriting model with fp32 weights")
+    model = model.cpu()
+    model.load_state_dict(state_dict, strict=False)
+
+    return model
+
+
+if __name__ == "__main__":
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("checkpoint_dir",
+                        type=str,
+                        help="path to the desired checkpoint folder, e.g., path/checkpoint-12")
+    parser.add_argument(
+        "output_file",
+        type=str,
+        help="path to the pytorch fp32 state_dict output file (e.g. path/checkpoint-12/pytorch_model.bin)")
+    parser.add_argument("-t",
+                        "--tag",
+                        type=str,
+                        default=None,
+                        help="checkpoint tag used as a unique identifier for checkpoint. e.g., global_step1")
+    parser.add_argument("--exclude_frozen_parameters", action='store_true', help="exclude frozen parameters")
+    parser.add_argument("-d", "--debug", action='store_true', help="enable debug")
+    args = parser.parse_args()
+
+    debug = args.debug
+
+    convert_zero_checkpoint_to_fp32_state_dict(args.checkpoint_dir,
+                                               args.output_file,
+                                               tag=args.tag,
+                                               exclude_frozen_parameters=args.exclude_frozen_parameters)