初始化项目，由ModelHub XC社区提供模型

Model: princeton-nlp/Llama-3-Instruct-8B-CPO
Source: Original Platform

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README.md

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+This is a model released from the preprint: [SimPO: Simple Preference Optimization with a Reference-Free Reward](https://arxiv.org/abs/2405.14734). Please refer to our [repository](https://github.com/princeton-nlp/SimPO) for more details.

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "max_position_embeddings": 8192,
+  "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": null,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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