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--- |
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library_name: transformers |
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pipeline_tag: text-generation |
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license: mit |
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base_model: |
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- ByteDance-Seed/Seed-Coder-8B-Base-bf16 |
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--- |
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# Seed-Coder-8B-Reasoning-bf16 |
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<div align="left" style="line-height: 1;"> |
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<a href="https://bytedance-seed-coder.github.io/" target="_blank" style="margin: 2px;"> |
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<img alt="Homepage" src="https://img.shields.io/badge/Seed--Coder-Homepage-a468fe?color=a468fe&logoColor=white" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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<a href="https://github.com/ByteDance-Seed/Seed-Coder/blob/master/Seed-Coder.pdf" target="_blank" style="margin: 2px;"> |
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<img alt="Technical Report" src="https://img.shields.io/badge/(upcoming)-Technical%20Report-brightgreen?logo=arxiv&logoColor=white" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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<a href="https://huggingface.co/ByteDance-Seed" target="_blank" style="margin: 2px;"> |
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<img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-ByteDance%20Seed-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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<a href="https://github.com/ByteDance-Seed/Seed-Coder/blob/master/LICENSE" style="margin: 2px;"> |
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<img alt="License" src="https://img.shields.io/badge/License-MIT-f5de53?color=f5de53&logoColor=white" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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</div> |
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## Introduction |
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We are thrilled to introduce Seed-Coder, a powerful, transparent, and parameter-efficient family of open-source code models at the 8B scale, featuring base, instruct, and reasoning variants. Seed-Coder contributes to promote the evolution of open code models through the following highlights. |
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- **Model-centric:** Seed-Coder predominantly leverages LLMs instead of hand-crafted rules for code data filtering, minimizing manual effort in pretraining data construction. |
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- **Transparent:** We openly share detailed insights into our model-centric data pipeline, including methods for curating GitHub data, commits data, and code-related web data. |
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- **Powerful:** Seed-Coder achieves state-of-the-art performance among open-source models of comparable size across a diverse range of coding tasks. |
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<p align="center"> |
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<img width="100%" src="imgs/seed-coder_intro_performance.jpg"> |
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</p> |
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This is the **bf16 version** of the Seed-Coder-8B-Reasoning model, which has the following features: |
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- Type: Causal language models |
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- Training Stage: Pretraining & Post-training |
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- Data Source: Public datasets |
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- Context Length: 65,536 |
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## Model Downloads |
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| Model Name | Length | Download | Notes | |
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|---------------------------------------------------------|-----------|------------------------------------|-----------------------| |
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| Seed-Coder-8B-Base | 32K | π€ [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Base) | Pretrained on our model-centric code data. | |
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| Seed-Coder-8B-Instruct | 32K | π€ [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Instruct) | Instruction-tuned for alignment with user intent. | |
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| Seed-Coder-8B-Reasoning | 32K | π€ [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning) | RL trained to boost reasoning capabilities. | |
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| π **Seed-Coder-8B-Reasoning** (bf16) | 32K | π€ [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16) | RL trained to boost reasoning capabilities. This is the **bf16 version**. | |
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## Requirements |
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You will need to install the latest versions of `transformers` and `accelerate`: |
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```bash |
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pip install -U transformers accelerate |
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``` |
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## Quickstart |
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Here is a simple example demonstrating how to load the model and perform code generation using the Hugging Face `pipeline` API: |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import torch |
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model_id = "ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16" |
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tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) |
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True) |
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messages = [ |
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{"role": "user", "content": "Write a quick sort algorithm."}, |
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] |
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input_ids = tokenizer.apply_chat_template( |
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messages, |
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tokenize=True, |
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return_tensors="pt", |
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add_generation_prompt=True, |
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).to(model.device) |
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outputs = model.generate(input_ids, max_new_tokens=16384) |
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response = tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=True) |
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print(response) |
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``` |
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## Evaluation |
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Seed-Coder-8B-Reasoning strikes impressive performance on competitive programming, demonstrating that smaller LLMs can also be competent on complex reasoning tasks. Our model surpasses QwQ-32B and DeepSeek-R1 on IOI'2024, and achieves an ELO rating comparable to o1-mini on Codeforces contests. |
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<div style="display: flex; justify-content: center;"> |
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<img src="imgs/reasoning-ioi.jpg" width="61%" /> |
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<img src="imgs/reasoning-codeforces.jpg" width="39%" /> |
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</div> |
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For detailed benchmark performance, please refer to our [π Technical Report](https://github.com/ByteDance-Seed/Seed-Coder/blob/master/Seed-Coder.pdf). |
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## License |
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This project is licensed under the MIT License. See the [LICENSE file](https://github.com/ByteDance-Seed/Seed-Coder/blob/master/LICENSE) for details. |
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