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/home/cfruan/.conda/envs/mlc-source-311/bin/python -m mlc_chat gen_config /models/gemma-2b-it --quantization q4f16_1 --conv-template gemma_instruction --output /tmp/tmp8p1wh14f --context-window-size 8192 --prefill-chunk-size 1024 |
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[2024-02-21 21:09:03] INFO auto_config.py:115: [92mFound[0m model configuration: /models/gemma-2b-it/config.json |
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[2024-02-21 21:09:03] INFO auto_config.py:153: [92mFound[0m model type: [1mgemma[0m. Use `--model-type` to override. |
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[2024-02-21 21:09:03] INFO gemma_model.py:55: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) |
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[2024-02-21 21:09:03] INFO gemma_model.py:70: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (8192) |
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[2024-02-21 21:09:03] INFO config.py:106: Overriding [1mcontext_window_size[0m from 8192 to 8192 |
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[2024-02-21 21:09:03] INFO config.py:106: Overriding [1mprefill_chunk_size[0m from 8192 to 1024 |
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[2024-02-21 21:09:03] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80 |
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[2024-02-21 21:09:03] INFO gen_config.py:121: [generation_config.json] Setting [1mbos_token_id[0m: 2 |
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[2024-02-21 21:09:03] INFO gen_config.py:121: [generation_config.json] Setting [1meos_token_id[0m: 1 |
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[2024-02-21 21:09:03] INFO gen_config.py:121: [generation_config.json] Setting [1mpad_token_id[0m: 0 |
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[2024-02-21 21:09:03] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer.model. Copying to [1m/tmp/tmp8p1wh14f/tokenizer.model[0m |
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[2024-02-21 21:09:03] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer.json. Copying to [1m/tmp/tmp8p1wh14f/tokenizer.json[0m |
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[2024-02-21 21:09:03] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/vocab.json |
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[2024-02-21 21:09:03] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/merges.txt |
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[2024-02-21 21:09:03] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/added_tokens.json |
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[2024-02-21 21:09:03] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer_config.json. Copying to [1m/tmp/tmp8p1wh14f/tokenizer_config.json[0m |
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[2024-02-21 21:09:03] INFO gen_config.py:74: [System default] Setting [1mtemperature[0m: 0.7 |
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[2024-02-21 21:09:03] INFO gen_config.py:74: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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[2024-02-21 21:09:03] INFO gen_config.py:74: [System default] Setting [1mfrequency_penalty[0m: 0.0 |
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[2024-02-21 21:09:03] INFO gen_config.py:74: [System default] Setting [1mrepetition_penalty[0m: 1.0 |
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[2024-02-21 21:09:03] INFO gen_config.py:74: [System default] Setting [1mtop_p[0m: 0.95 |
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[2024-02-21 21:09:03] INFO gen_config.py:74: [System default] Setting [1mmean_gen_len[0m: 128 |
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[2024-02-21 21:09:03] INFO gen_config.py:74: [System default] Setting [1mmax_gen_len[0m: 512 |
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[2024-02-21 21:09:03] INFO gen_config.py:74: [System default] Setting [1mshift_fill_factor[0m: 0.3 |
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[2024-02-21 21:09:03] INFO gen_config.py:186: Dumping configuration file to: [1m/tmp/tmp8p1wh14f/mlc-chat-config.json[0m |
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/home/cfruan/.conda/envs/mlc-source-311/bin/python -m mlc_chat convert_weight /models/gemma-2b-it --quantization q4f16_1 --source-format auto --output /tmp/tmp8p1wh14f |
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[2024-02-21 21:09:05] INFO auto_config.py:115: [92mFound[0m model configuration: /models/gemma-2b-it/config.json |
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[2024-02-21 21:09:06] INFO auto_device.py:76: [92mFound[0m device: cuda:0 |
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[2024-02-21 21:09:06] INFO auto_device.py:76: [92mFound[0m device: cuda:1 |
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[2024-02-21 21:09:07] INFO auto_device.py:85: [91mNot found[0m device: rocm:0 |
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[2024-02-21 21:09:08] INFO auto_device.py:85: [91mNot found[0m device: metal:0 |
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[2024-02-21 21:09:19] INFO auto_device.py:76: [92mFound[0m device: vulkan:0 |
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[2024-02-21 21:09:19] INFO auto_device.py:76: [92mFound[0m device: vulkan:1 |
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[2024-02-21 21:09:19] INFO auto_device.py:76: [92mFound[0m device: vulkan:2 |
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[2024-02-21 21:09:20] INFO auto_device.py:85: [91mNot found[0m device: opencl:0 |
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[2024-02-21 21:09:20] INFO auto_device.py:33: Using device: [1mcuda:0[0m |
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[2024-02-21 21:09:20] INFO auto_weight.py:70: Finding weights in: /models/gemma-2b-it |
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[2024-02-21 21:09:20] INFO auto_weight.py:136: [91mNot found[0m Huggingface PyTorch |
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[2024-02-21 21:09:20] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/gemma-2b-it/model.safetensors.index.json |
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[2024-02-21 21:09:20] INFO auto_weight.py:106: Using source weight configuration: [1m/models/gemma-2b-it/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-02-21 21:09:20] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-02-21 21:09:20] INFO auto_config.py:153: [92mFound[0m model type: [1mgemma[0m. Use `--model-type` to override. |
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[2024-02-21 21:09:20] INFO gemma_model.py:55: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) |
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[2024-02-21 21:09:20] INFO gemma_model.py:70: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (8192) |
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[1mWeight conversion with arguments:[0m |
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[1m--config[0m /models/gemma-2b-it/config.json |
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[1m--quantization[0m GroupQuantize(name='q4f16_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float16', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7) |
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[1m--model-type[0m gemma |
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[1m--device[0m cuda:0 |
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[1m--source[0m /models/gemma-2b-it/model.safetensors.index.json |
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0%| | 0/110 [00:00<?, ?it/s]
[2024-02-21 21:09:22] INFO huggingface_loader.py:182: Loading HF parameters from: /models/gemma-2b-it/model-00001-of-00002.safetensors |
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[2024-02-21 21:09:38] INFO group_quantization.py:232: Compiling quantize function for key: ((256000, 2048), float16, cuda, axis=1, output_transpose=False) |
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[2024-02-21 21:09:39] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (256000, 256), dtype: uint32 |
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[2024-02-21 21:09:40] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.embed_tokens.q_scale[0m", shape: (256000, 64), dtype: float16 |
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1%|βββ | 1/110 [00:17<32:03, 17.65s/it]
[2024-02-21 21:09:40] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-02-21 21:09:40] INFO group_quantization.py:232: Compiling quantize function for key: ((2048, 16384), float16, cuda, axis=1, output_transpose=False) |
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1%|βββ | 1/110 [00:17<32:03, 17.65s/it]
[2024-02-21 21:09:40] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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1%|βββ | 1/110 [00:18<32:03, 17.65s/it]
[2024-02-21 21:09:40] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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1%|βββ | 1/110 [00:18<32:03, 17.65s/it]
3%|βββββββ | 3/110 [00:18<08:34, 4.81s/it]
[2024-02-21 21:09:41] INFO group_quantization.py:232: Compiling quantize function for key: ((32768, 2048), float16, cuda, axis=1, output_transpose=False) |
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3%|βββββββ | 3/110 [00:19<08:34, 4.81s/it]
[2024-02-21 21:09:42] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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[2024-02-21 21:09:42] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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4%|βββββββββ | 4/110 [00:19<06:28, 3.67s/it]
[2024-02-21 21:09:42] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-02-21 21:09:42] INFO group_quantization.py:232: Compiling quantize function for key: ((2560, 2048), float16, cuda, axis=1, output_transpose=False) |
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[2024-02-21 21:09:42] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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[2024-02-21 21:09:42] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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5%|ββββββββββββββ | 6/110 [00:20<03:24, 1.97s/it]
[2024-02-21 21:09:42] INFO group_quantization.py:232: Compiling quantize function for key: ((2048, 2048), float16, cuda, axis=1, output_transpose=False) |
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5%|ββββββββββββββ | 6/110 [00:20<03:24, 1.97s/it]
[2024-02-21 21:09:43] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 |
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[2024-02-21 21:09:43] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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6%|ββββββββββββββββ | 7/110 [00:20<02:41, 1.57s/it]
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[2024-02-21 21:09:43] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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[2024-02-21 21:09:43] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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8%|βββββββββββββββββββββ | 9/110 [00:20<01:34, 1.06it/s]
[2024-02-21 21:09:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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[2024-02-21 21:09:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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9%|βββββββββββββββββββββββ | 10/110 [00:22<01:38, 1.02it/s]
[2024-02-21 21:09:44] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-02-21 21:09:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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[2024-02-21 21:09:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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[2024-02-21 21:09:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 |
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[2024-02-21 21:09:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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[2024-02-21 21:09:44] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-02-21 21:09:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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[2024-02-21 21:09:44] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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14%|ββββββββββββββββββββββββββββββββββ | 15/110 [00:22<00:38, 2.47it/s]
[2024-02-21 21:09:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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[2024-02-21 21:09:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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[2024-02-21 21:09:45] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-02-21 21:09:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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[2024-02-21 21:09:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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[2024-02-21 21:09:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 |
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[2024-02-21 21:09:45] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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[2024-02-21 21:09:45] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.11.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-02-21 21:09:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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[2024-02-21 21:09:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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15%|βββββββββββββββββββββββββββββββββββββ | 16/110 [00:23<00:46, 2.02it/s]
19%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 21/110 [00:23<00:24, 3.69it/s]
[2024-02-21 21:09:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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19%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 21/110 [00:24<00:24, 3.69it/s]
[2024-02-21 21:09:46] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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19%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 21/110 [00:24<00:24, 3.69it/s]
20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
[2024-02-21 21:09:46] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
[2024-02-21 21:09:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
[2024-02-21 21:09:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
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20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
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20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
[2024-02-21 21:09:47] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.12.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
[2024-02-21 21:09:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
[2024-02-21 21:09:47] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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20%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 22/110 [00:24<00:30, 2.85it/s]
25%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 27/110 [00:24<00:17, 4.76it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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25%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 27/110 [00:25<00:17, 4.76it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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25%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 27/110 [00:25<00:17, 4.76it/s]
25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:25<00:23, 3.46it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:25<00:23, 3.46it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:25<00:23, 3.46it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:25<00:23, 3.46it/s]
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25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:25<00:23, 3.46it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:25<00:23, 3.46it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.13.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:25<00:23, 3.46it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:26<00:23, 3.46it/s]
[2024-02-21 21:09:48] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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25%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 28/110 [00:26<00:23, 3.46it/s]
30%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 33/110 [00:26<00:14, 5.41it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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30%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 33/110 [00:26<00:14, 5.41it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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30%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 33/110 [00:26<00:14, 5.41it/s]
31%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 34/110 [00:26<00:20, 3.68it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.13.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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31%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 34/110 [00:26<00:20, 3.68it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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31%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 34/110 [00:27<00:20, 3.68it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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31%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 34/110 [00:27<00:20, 3.68it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 |
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31%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 34/110 [00:27<00:20, 3.68it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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31%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 34/110 [00:27<00:20, 3.68it/s]
34%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 37/110 [00:27<00:14, 5.10it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.14.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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34%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 37/110 [00:27<00:14, 5.10it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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34%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 37/110 [00:27<00:14, 5.10it/s]
[2024-02-21 21:09:49] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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34%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 37/110 [00:27<00:14, 5.10it/s]
35%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 39/110 [00:27<00:12, 5.60it/s]
[2024-02-21 21:09:50] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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35%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 39/110 [00:28<00:12, 5.60it/s]
[2024-02-21 21:09:50] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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35%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 39/110 [00:28<00:12, 5.60it/s]
[2024-02-21 21:09:50] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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35%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 39/110 [00:28<00:12, 5.60it/s]
37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 41/110 [00:28<00:16, 4.14it/s]
[2024-02-21 21:09:50] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 41/110 [00:28<00:16, 4.14it/s]
[2024-02-21 21:09:50] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 41/110 [00:28<00:16, 4.14it/s]
38%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 42/110 [00:28<00:14, 4.54it/s]
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38%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 42/110 [00:28<00:14, 4.54it/s]
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38%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 42/110 [00:28<00:14, 4.54it/s]
[2024-02-21 21:09:50] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.15.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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38%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 42/110 [00:28<00:14, 4.54it/s]
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38%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 42/110 [00:28<00:14, 4.54it/s]
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38%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 42/110 [00:28<00:14, 4.54it/s]
41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 45/110 [00:28<00:10, 5.96it/s]
[2024-02-21 21:09:51] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 45/110 [00:29<00:10, 5.96it/s]
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41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 45/110 [00:29<00:10, 5.96it/s]
42%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 46/110 [00:29<00:17, 3.56it/s]
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60%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 66/110 [00:33<00:07, 6.06it/s]
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60%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 66/110 [00:33<00:07, 6.06it/s]
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61%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 67/110 [00:33<00:10, 4.11it/s]
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61%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 67/110 [00:33<00:10, 4.11it/s]
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61%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 67/110 [00:33<00:10, 4.11it/s]
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61%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 67/110 [00:33<00:10, 4.11it/s]
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64%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 70/110 [00:34<00:06, 5.74it/s]
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64%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 70/110 [00:34<00:06, 5.74it/s]
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65%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 72/110 [00:34<00:06, 6.06it/s]
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[2024-02-21 21:09:57] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.4.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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65%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 72/110 [00:34<00:06, 6.06it/s]
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67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/110 [00:34<00:08, 4.49it/s]
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71%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/110 [00:36<00:05, 6.38it/s]
[2024-02-21 21:09:58] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.5.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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71%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/110 [00:36<00:05, 6.38it/s]
73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/110 [00:36<00:07, 4.13it/s]
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[2024-02-21 21:09:58] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/110 [00:36<00:07, 4.13it/s]
75%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/110 [00:36<00:05, 5.13it/s]
[2024-02-21 21:09:58] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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75%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/110 [00:36<00:05, 5.13it/s]
[2024-02-21 21:09:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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75%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/110 [00:36<00:05, 5.13it/s]
[2024-02-21 21:09:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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75%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/110 [00:36<00:05, 5.13it/s]
76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/110 [00:36<00:04, 5.55it/s]
[2024-02-21 21:09:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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[2024-02-21 21:10:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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[2024-02-21 21:10:00] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:37<00:06, 3.79it/s]
[2024-02-21 21:10:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:37<00:06, 3.79it/s]
[2024-02-21 21:10:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:37<00:06, 3.79it/s]
[2024-02-21 21:10:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 |
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78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:37<00:06, 3.79it/s]
[2024-02-21 21:10:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:37<00:06, 3.79it/s]
[2024-02-21 21:10:00] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-02-21 21:10:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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[2024-02-21 21:10:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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[2024-02-21 21:10:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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[2024-02-21 21:10:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/110 [00:38<00:05, 3.61it/s]
[2024-02-21 21:10:01] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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[2024-02-21 21:10:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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[2024-02-21 21:10:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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[2024-02-21 21:10:01] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/110 [00:39<00:05, 3.61it/s]
[2024-02-21 21:10:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/110 [00:39<00:05, 3.61it/s]
87%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/110 [00:39<00:02, 6.02it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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87%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/110 [00:40<00:02, 6.02it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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87%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/110 [00:40<00:02, 6.02it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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87%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/110 [00:40<00:02, 6.02it/s]
89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:40<00:04, 2.96it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:41<00:04, 2.96it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:41<00:04, 2.96it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 |
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89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:41<00:04, 2.96it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:41<00:04, 2.96it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:41<00:04, 2.96it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:41<00:04, 2.96it/s]
[2024-02-21 21:10:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:41<00:04, 2.96it/s]
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 102/110 [00:41<00:01, 4.24it/s]
[2024-02-21 21:10:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_weight[0m", shape: (32768, 256), dtype: uint32 |
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93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 102/110 [00:41<00:01, 4.24it/s]
[2024-02-21 21:10:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_scale[0m", shape: (32768, 64), dtype: float16 |
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93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 102/110 [00:41<00:01, 4.24it/s]
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[2024-02-21 21:10:04] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.9.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 103/110 [00:41<00:01, 3.59it/s]
[2024-02-21 21:10:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32 |
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94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 103/110 [00:41<00:01, 3.59it/s]
[2024-02-21 21:10:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float16 |
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94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 103/110 [00:41<00:01, 3.59it/s]
[2024-02-21 21:10:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32 |
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94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 103/110 [00:41<00:01, 3.59it/s]
[2024-02-21 21:10:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float16 |
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94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 103/110 [00:41<00:01, 3.59it/s]
[2024-02-21 21:10:04] INFO huggingface_loader.py:194: Unloading HF weight file: /models/gemma-2b-it/model-00001-of-00002.safetensors |
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[2024-02-21 21:10:05] INFO huggingface_loader.py:182: Loading HF parameters from: /models/gemma-2b-it/model-00002-of-00002.safetensors |
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[2024-02-21 21:10:05] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 103/110 [00:42<00:01, 3.59it/s]
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 107/110 [00:42<00:00, 3.65it/s]
[2024-02-21 21:10:06] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_weight[0m", shape: (2048, 2048), dtype: uint32 |
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97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 107/110 [00:43<00:00, 3.65it/s]
[2024-02-21 21:10:06] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_scale[0m", shape: (2048, 512), dtype: float16 |
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97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 107/110 [00:43<00:00, 3.65it/s]
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 108/110 [00:43<00:00, 2.70it/s]
[2024-02-21 21:10:06] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 |
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98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 108/110 [00:43<00:00, 2.70it/s]
[2024-02-21 21:10:06] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (2048,), dtype: float16 |
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98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 108/110 [00:43<00:00, 2.70it/s]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 110/110 [00:43<00:00, 2.50it/s] |
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[2024-02-21 21:10:06] INFO huggingface_loader.py:194: Unloading HF weight file: /models/gemma-2b-it/model-00002-of-00002.safetensors |
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[2024-02-21 21:10:06] INFO stats.py:76: [92mTime usage[0m: HF loading: 12.610 sec; Pre-quantization mapping: 25.853 sec; Quantization: 3.268 sec |
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