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Model: yongqiqng/AutoBM-Seed-Coder-8B-R Source: Original Platform
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README.md
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---
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license: apache-2.0
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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base_model: ByteDance-Seed/Seed-Coder-8B-Reasoning
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tags:
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- code
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- structural-engineering
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- openseespy
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- scientific-modeling
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- reinforcement-learning
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- grpo
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- autobm
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---
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# AutoBM-Seed-Coder-8B-R
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Official model release for the paper *Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation*.
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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:
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- **Stage I — Domain Instruction Fine-Tuning (SFT)** on the CivilInstruct dataset (10,912 samples).
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- **Stage II — Self-Play Constraint GRPO (SPC-GRPO)** with the Multi-Granularity Hybrid Reward (MGHR), combining format, AST, and OpenSeesPy execution rewards.
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The resulting model generates **executable, physically consistent OpenSeesPy structural modeling code** from natural language building specifications.
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## BMEval Results
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| Model | Pass@1 | Pass@5 | Pass@5_period | Pass@5_compliance | Pass@5_strict | Overall Avg |
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|-------|--------|--------|---------------|-------------------|---------------|-------------|
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| Seed-Coder-8B-R (baseline) | 11.72 | 21.09 | 0.78 | 3.13 | 0.78 | 6.51 |
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| **AutoBM-Seed-Coder-8B-R (this model)** | **64.18** | **97.28** | **78.05** | **92.47** | **77.14** | **81.95** |
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model_id = "yongqiqng/AutoBM-Seed-Coder-8B-R"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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prompt = '''Generate OpenSeesPy code to model a 5-story reinforced concrete frame building:
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- Floor height: 3.5 m
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- Bay width: 6 m (3 bays in X, 2 bays in Y)
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- Seismic intensity: 0.2g
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Compute the fundamental period.'''
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messages = [{"role": "user", "content": prompt}]
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inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True).to(model.device)
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outputs = model.generate(inputs, max_new_tokens=4096, temperature=0.6, top_p=0.95, do_sample=True)
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print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True))
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```
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## Training Details
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| Stage | Method | Data |
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|-------|--------|------|
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| Stage I | Supervised Fine-Tuning | CivilInstruct SFT (9,894 train + 202 val) |
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| Stage II | SPC-GRPO with MGHR | CivilInstruct RL (455 train + 57 test) |
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The MGHR reward function combines:
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- `r_fmt` (Format, weight 0.05) — `<think>...</think><answer>...</answer>` structure
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- `r_ast` (AST, weight 0.25) — three-tiered OpenSeesPy API coverage
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- `r_exec` (Execution, weight 0.70) — sandboxed OpenSeesPy execution + period error grading
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See the [paper](https://arxiv.org/abs/2602.07083) and [training code](https://github.com/Jovanqing/AutoBM) for details.
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## Related
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- Paper: [arXiv:2602.07083](https://arxiv.org/abs/2602.07083)
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- Code: [github.com/Jovanqing/AutoBM](https://github.com/Jovanqing/AutoBM)
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- Sample data: [yongqiqng/CivilInstruct-Sample](https://huggingface.co/datasets/yongqiqng/CivilInstruct-Sample)
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- Base model: [ByteDance-Seed/Seed-Coder-8B-Reasoning](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning)
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## Citation
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```bibtex
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@article{jiang2026rethinking,
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title={Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation},
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author={Jiang, Yongqing and Wang, Jianze and Shen, Zhiqi and Lin, Zhenghong and Wang, Jiayuan and Yang, Yijian and Dai, Kaoshan and Luo, Haoran},
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journal={arXiv preprint arXiv:2602.07083},
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year={2026}
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}
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```
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## License
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Released under the Apache 2.0 License, consistent with the base Seed-Coder-8B-Reasoning model.
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chat_template.jinja
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{% 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 + '
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' + message['content'] | trim + eos_token }}{% endfor %}{% if add_generation_prompt %}{{ bos_token + 'assistant
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'}}{% endif %}
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config.json
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"dtype": "bfloat16",
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"model.layers.8.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00001-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<[begin▁of▁sentence]>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<[end▁of▁sentence]>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<[PAD▁TOKEN]>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"sep_token": {
|
||||
"content": "<[SEP▁TOKEN]>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:db6520146c388c495a98bbea62ff6d00c0a8935bed33622e33bb33ec71aaafed
|
||||
size 11891696
|
||||
1036
tokenizer_config.json
Normal file
1036
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user