初始化项目，由ModelHub XC社区提供模型

Model: Aletheia-Bench/DPO-Think-7B
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+library_name: transformers
+model_name: dpo_DeepSeek-R1-Distill-Qwen-7B
+tags:
+- generated_from_trainer
+- dpo
+- trl
+licence: license
+---
+
+# Model Card for dpo_DeepSeek-R1-Distill-Qwen-7B
+
+This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="wetsoledrysoul/dpo_DeepSeek-R1-Distill-Qwen-7B", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/CodeShield/CerebRM-DPO/runs/00y7t01f) 
+
+
+This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
+
+### Framework versions
+
+- TRL: 0.24.0
+- Transformers: 4.56.1
+- Pytorch: 2.7.1
+- Datasets: 4.0.0
+- Tokenizers: 0.22.0
+
+## Citations
+
+Cite DPO as:
+
+```bibtex
+@inproceedings{rafailov2023direct,
+    title        = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
+    author       = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},
+    year         = 2023,
+    booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
+    url          = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
+    editor       = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
+}
+```
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

chat_template.jinja

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+{%- if not add_generation_prompt is defined -%}
+	{%- set add_generation_prompt = false -%}
+{%- endif -%}
+{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt="") -%}
+{%- for message in messages -%}
+	{%- if message["role"] == "system" -%}
+		{%- set ns.system_prompt = message["content"] -%}
+	{%- endif -%}
+{%- endfor -%}
+{{- bos_token -}}
+{{- ns.system_prompt -}}
+{%- for message in messages -%}
+	{%- if message["role"] == "user" -%}
+		{%- set ns.is_tool = false -%}
+		{{- "<｜User｜>" + message["content"] -}}
+	{%- endif -%}
+	{%- if message["role"] == "assistant" and message["content"] is none -%}
+		{%- set ns.is_tool = false -%}
+		{%- for tool in message["tool_calls"] -%}
+			{%- if not ns.is_first -%}
+				{{- "<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>" + tool["type"] + "<｜tool▁sep｜>" + tool["function"]["name"] + "\n" + "```json" + "\n" + tool["function"]["arguments"] + "\n" + "```" + "<｜tool▁call▁end｜>" -}}
+				{%- set ns.is_first = true -%}
+			{%- else -%}
+				{{- "\n" + "<｜tool▁call▁begin｜>" + tool["type"] + "<｜tool▁sep｜>" + tool["function"]["name"] + "\n" + "```json" + "\n" + tool["function"]["arguments"] + "\n" + "```" + "<｜tool▁call▁end｜>" -}}
+				{{- "<｜tool▁calls▁end｜><｜end▁of▁sentence｜>" -}}
+			{%- endif -%}
+		{%- endfor -%}
+	{%- endif -%}
+	{%- if message["role"] == "assistant" and message["content"] is not none -%}
+		{%- if ns.is_tool -%}
+			{{- "<｜tool▁outputs▁end｜>" + message["content"] + "<｜end▁of▁sentence｜>" -}}
+			{%- set ns.is_tool = false -%}
+		{%- else -%}
+			{%- set content = message["content"] -%}
+			{{- "<｜Assistant｜>" + content -}}
+		{%- endif -%}
+	{%- endif -%}
+	{%- if message["role"] == "tool" -%}
+		{%- set ns.is_tool = true -%}
+		{%- if ns.is_output_first -%}
+			{{- "<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>" + message["content"] + "<｜tool▁output▁end｜>" -}}
+			{%- set ns.is_output_first = false -%}
+		{%- else -%}
+			{{- "\n<｜tool▁output▁begin｜>" + message["content"] + "<｜tool▁output▁end｜>" -}}
+		{%- endif -%}
+	{%- endif -%}
+{%- endfor -%}
+{%- if ns.is_tool -%}
+	{{- "<｜tool▁outputs▁end｜>" -}}
+{%- endif -%}
+{%- if add_generation_prompt and not ns.is_tool -%}
+	{{- "<｜Assistant｜><think>\n" -}}
+{%- endif -%}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151646,
+  "dtype": "bfloat16",
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "pad_token_id": 151647,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.56.1",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 151646,
+  "do_sample": true,
+  "eos_token_id": [
+    151643
+  ],
+  "pad_token_id": 151647,
+  "temperature": 0.6,
+  "top_p": 0.95,
+  "transformers_version": "4.56.1"
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