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  1. config.json +29 -19
  2. model.safetensors +2 -2
config.json CHANGED
@@ -1,29 +1,39 @@
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  {
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- "_name_or_path": "EleutherAI/pythia-160m",
 
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  "architectures": [
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- "GPTNeoXForCausalLM"
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  ],
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- "attention_dropout": 0.0,
 
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  "bos_token_id": 0,
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- "classifier_dropout": 0.1,
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  "eos_token_id": 0,
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- "hidden_act": "gelu",
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- "hidden_size": 768,
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  "initializer_range": 0.02,
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- "intermediate_size": 3072,
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- "layer_norm_eps": 1e-05,
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- "max_position_embeddings": 2048,
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- "model_type": "gpt_neox",
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- "num_attention_heads": 12,
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- "num_hidden_layers": 12,
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- "rope_scaling": null,
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- "rotary_emb_base": 10000,
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- "rotary_pct": 0.25,
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- "tie_word_embeddings": false,
 
 
 
 
 
 
 
 
 
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.35.2",
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  "use_cache": true,
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- "use_parallel_residual": true,
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- "vocab_size": 50304
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  }
 
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  {
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+ "_name_or_path": "bigcode/tiny_starcoder_py",
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+ "activation_function": "gelu_pytorch_tanh",
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  "architectures": [
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+ "GPTBigCodeForCausalLM"
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  ],
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+ "attention_softmax_in_fp32": true,
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+ "attn_pdrop": 0.1,
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  "bos_token_id": 0,
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+ "embd_pdrop": 0.1,
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  "eos_token_id": 0,
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+ "inference_runner": 0,
 
 
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  "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "max_batch_size": null,
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+ "max_sequence_length": null,
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+ "model_type": "gpt_bigcode",
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+ "multi_query": true,
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+ "n_embd": 768,
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+ "n_head": 12,
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+ "n_inner": 3072,
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+ "n_layer": 20,
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+ "n_positions": 8192,
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+ "pad_key_length": true,
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+ "pre_allocate_kv_cache": false,
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+ "resid_pdrop": 0.1,
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+ "scale_attention_softmax_in_fp32": true,
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+ "scale_attn_weights": true,
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+ "summary_activation": null,
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+ "summary_first_dropout": 0.1,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.35.2",
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  "use_cache": true,
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+ "validate_runner_input": true,
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+ "vocab_size": 49152
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  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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