初始化项目，由ModelHub XC社区提供模型
Model: Huggggooo/ProtoCycle-7B Source: Original Platform
This commit is contained in:
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69
README.md
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README.md
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---
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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base_model: Huggggooo/ProtoCycle-7B-SFT
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tags:
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- protein-design
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- agentic
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- tool-use
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- qwen2.5
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- reinforcement-learning
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- grpo
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language:
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- en
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---
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# ProtoCycle-7B
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RL checkpoint for **ProtoCycle** — an agentic protein design model that
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performs multi-step, tool-augmented sequence design.
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This is the **GRPO-TCR (Group Relative Policy Optimization with Tool-Call
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Reward) stage**, initialised from the SFT checkpoint
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[`Huggggooo/ProtoCycle-7B-SFT`](https://huggingface.co/Huggggooo/ProtoCycle-7B-SFT).
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- Base model: `Huggggooo/ProtoCycle-7B-SFT`
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(itself fine-tuned from `Qwen/Qwen2.5-7B-Instruct`)
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- Training framework: [VeRL](https://github.com/volcengine/verl) /
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[Open-AgentRL](https://github.com/Gen-Verse/Open-AgentRL)
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- Stage: agentic RL with GRPO-TCR
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- Rollouts per prompt: 8, max turns: 16
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- Max prompt / response: 8k / 20k tokens
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- Reward manager: `protein` (see
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[ProtoCycle/verl/workers/reward_manager/protein.py](https://github.com/huggggoooooo/ProtoCycle/blob/main/verl/workers/reward_manager/protein.py))
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See
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[`recipe/protein/reward.py`](https://github.com/huggggoooooo/ProtoCycle/blob/main/recipe/protein/reward.py)
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for the exact formulation.
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## Training Data
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10,000 RL prompts for GRPO-TCR training, available at
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[Huggggooo/ProtoCycle-Data](https://huggingface.co/datasets/Huggggooo/ProtoCycle-Data) (`rl/` subset).}
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## Agent Protocol
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```
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<think> ... reasoning ... </think>
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<plan> ... stage plan ... </plan>
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<tool_call>{"name": "...", "arguments": {...}}</tool_call>
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...
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<answer>MAEGEITPLKTF...</answer>
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```
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## How to Use
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See the ProtoCycle repository:
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[ProtoCycle](https://github.com/huggggoooooo/ProtoCycle) repo.
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## License
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Apache-2.0.
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## Citation
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If you find this work useful, please cite ProtoCycle (forthcoming) and the
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upstream frameworks: VeRL, Open-AgentRL, ProTrek, ESM.
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added_tokens.json
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chat_template.jinja
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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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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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config.json
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config.json
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generation_config.json
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31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
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3
tokenizer.json
Normal file
3
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|
||||
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207
tokenizer_config.json
Normal file
207
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Normal file
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||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user