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  1. .gitattributes +10 -0
  2. .wandb_run_id +1 -0
  3. README.md +67 -0
  4. checkpoint-1000/added_tokens.json +24 -0
  5. checkpoint-1000/chat_template.jinja +54 -0
  6. checkpoint-1000/config.json +54 -0
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.gitattributes CHANGED
@@ -33,3 +33,13 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-1200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-1400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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.wandb_run_id ADDED
@@ -0,0 +1 @@
 
 
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+ 3cb6918ba30baad5
README.md ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ library_name: transformers
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+ model_name: Qwen2.5-0.5B-Instruct_lr1e-06_kl0.001_mu1_lambda0.5_penalty0.5
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+ tags:
5
+ - generated_from_trainer
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+ - trl
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+ - grpo
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+ licence: license
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+ ---
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+
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+ # Model Card for Qwen2.5-0.5B-Instruct_lr1e-06_kl0.001_mu1_lambda0.5_penalty0.5
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+
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+ This model is a fine-tuned version of [None](https://huggingface.co/None).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
15
+
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+ ## Quick start
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+
18
+ ```python
19
+ from transformers import pipeline
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+
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+ 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?"
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+ generator = pipeline("text-generation", model="None", device="cuda")
23
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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+ print(output["generated_text"])
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+ ```
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+
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+ ## Training procedure
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+
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+ [<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/yfxuyeah-university-of-illinois-urbana-champaign/safe_rank_grpo/runs/3cb6918ba30baad5)
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+
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+
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+ This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
33
+
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+ ### Framework versions
35
+
36
+ - TRL: 0.21.0
37
+ - Transformers: 4.57.3
38
+ - Pytorch: 2.9.0
39
+ - Datasets: 4.3.0
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+ - Tokenizers: 0.22.1
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+
42
+ ## Citations
43
+
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+ Cite GRPO as:
45
+
46
+ ```bibtex
47
+ @article{zhihong2024deepseekmath,
48
+ title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
49
+ author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
50
+ year = 2024,
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+ eprint = {arXiv:2402.03300},
52
+ }
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+
54
+ ```
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+
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+ Cite TRL as:
57
+
58
+ ```bibtex
59
+ @misc{vonwerra2022trl,
60
+ title = {{TRL: Transformer Reinforcement Learning}},
61
+ 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},
62
+ year = 2020,
63
+ journal = {GitHub repository},
64
+ publisher = {GitHub},
65
+ howpublished = {\url{https://github.com/huggingface/trl}}
66
+ }
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+ ```
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+ {%- if tools %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- messages[0]['content'] }}
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+ {%- else %}
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+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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+ {%- endif %}
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+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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+ {%- for tool in tools %}
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+ {{- "\n" }}
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+ {{- tool | tojson }}
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+ {%- endfor %}
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+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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+ {%- else %}
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+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {{- '\n<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {{- tool_call.arguments | tojson }}
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+ {%- elif message.role == "tool" %}
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+ {%- if tools %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {{- messages[0]['content'] }}
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+ {%- else %}
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+ {{- '<|im_start|>assistant\n' }}
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