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Llama-3.1-8B-Instruct-zp-writing-qlora-ft

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  1. adapter_0.pt +3 -0
  2. adapter_1.pt +3 -0
  3. adapter_config.json +1 -0
  4. adapter_model.bin +3 -0
  5. config.json +1 -0
  6. hf_model_0001_0.pt +3 -0
  7. hf_model_0001_1.pt +3 -0
  8. hf_model_0002_0.pt +3 -0
  9. hf_model_0002_1.pt +3 -0
  10. hf_model_0003_0.pt +3 -0
  11. hf_model_0003_1.pt +3 -0
  12. hf_model_0004_0.pt +3 -0
  13. hf_model_0004_1.pt +3 -0
  14. recipe_state.pt +3 -0
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adapter_config.json ADDED
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config.json ADDED
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+ {"architectures": ["LlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": [128001, 128008, 128009], "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": {"factor": 8.0, "low_freq_factor": 1.0, "high_freq_factor": 4.0, "original_max_position_embeddings": 8192, "rope_type": "llama3"}, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.42.3", "use_cache": true, "vocab_size": 128256}
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