commit 93d6310dc2e8361154e7005e729ea1c04582ad09 Author: ModelHub XC Date: Sun May 10 22:46:43 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: yongqiqng/AutoBM-Seed-Coder-8B-R Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text 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100644 index 0000000..21e4eb9 --- /dev/null +++ b/README.md @@ -0,0 +1,96 @@ +--- +license: apache-2.0 +language: + - en +library_name: transformers +pipeline_tag: text-generation +base_model: ByteDance-Seed/Seed-Coder-8B-Reasoning +tags: + - code + - structural-engineering + - openseespy + - scientific-modeling + - reinforcement-learning + - grpo + - autobm +--- + +# AutoBM-Seed-Coder-8B-R + +Official model release for the paper *Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation*. + +This model is trained from [`ByteDance-Seed/Seed-Coder-8B-Reasoning`](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning) via the **RLA-SPC** two-stage alignment strategy: + +- **Stage I — Domain Instruction Fine-Tuning (SFT)** on the CivilInstruct dataset (10,912 samples). +- **Stage II — Self-Play Constraint GRPO (SPC-GRPO)** with the Multi-Granularity Hybrid Reward (MGHR), combining format, AST, and OpenSeesPy execution rewards. + +The resulting model generates **executable, physically consistent OpenSeesPy structural modeling code** from natural language building specifications. + +## BMEval Results + +| Model | Pass@1 | Pass@5 | Pass@5_period | Pass@5_compliance | Pass@5_strict | Overall Avg | +|-------|--------|--------|---------------|-------------------|---------------|-------------| +| Seed-Coder-8B-R (baseline) | 11.72 | 21.09 | 0.78 | 3.13 | 0.78 | 6.51 | +| **AutoBM-Seed-Coder-8B-R (this model)** | **64.18** | **97.28** | **78.05** | **92.47** | **77.14** | **81.95** | + +## Usage + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer +import torch + +model_id = "yongqiqng/AutoBM-Seed-Coder-8B-R" +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained( + model_id, + torch_dtype=torch.bfloat16, + device_map="auto", +) + +prompt = '''Generate OpenSeesPy code to model a 5-story reinforced concrete frame building: +- Floor height: 3.5 m +- Bay width: 6 m (3 bays in X, 2 bays in Y) +- Seismic intensity: 0.2g +Compute the fundamental period.''' + +messages = [{"role": "user", "content": prompt}] +inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True).to(model.device) +outputs = model.generate(inputs, max_new_tokens=4096, temperature=0.6, top_p=0.95, do_sample=True) +print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True)) +``` + +## Training Details + +| Stage | Method | Data | +|-------|--------|------| +| Stage I | Supervised Fine-Tuning | CivilInstruct SFT (9,894 train + 202 val) | +| Stage II | SPC-GRPO with MGHR | CivilInstruct RL (455 train + 57 test) | + +The MGHR reward function combines: +- `r_fmt` (Format, weight 0.05) — `......` structure +- `r_ast` (AST, weight 0.25) — three-tiered OpenSeesPy API coverage +- `r_exec` (Execution, weight 0.70) — sandboxed OpenSeesPy execution + period error grading + +See the [paper](https://arxiv.org/abs/2602.07083) and [training code](https://github.com/Jovanqing/AutoBM) for details. + +## Related + +- Paper: [arXiv:2602.07083](https://arxiv.org/abs/2602.07083) +- Code: [github.com/Jovanqing/AutoBM](https://github.com/Jovanqing/AutoBM) +- Sample data: [yongqiqng/CivilInstruct-Sample](https://huggingface.co/datasets/yongqiqng/CivilInstruct-Sample) +- Base model: [ByteDance-Seed/Seed-Coder-8B-Reasoning](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning) + +## Citation + +```bibtex +@article{jiang2026rethinking, + title={Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation}, + author={Jiang, Yongqing and Wang, Jianze and Shen, Zhiqi and Lin, Zhenghong and Wang, Jiayuan and Yang, Yijian and Dai, Kaoshan and Luo, Haoran}, + journal={arXiv preprint arXiv:2602.07083}, + year={2026} +} +``` + +## License + +Released under the Apache 2.0 License, consistent with the base Seed-Coder-8B-Reasoning model. diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..93c8543 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,3 @@ +{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% set role = message['role'] %}{{ bos_token + role + ' +' + message['content'] | trim + eos_token }}{% endfor %}{% if add_generation_prompt %}{{ bos_token + 'assistant +'}}{% endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..1b4412c --- /dev/null +++ b/config.json @@ -0,0 +1,32 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0, + "bos_token_id": 0, + "dtype": "bfloat16", + "eos_token_id": 2, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + 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