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--- |
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license: apache-2.0 |
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base_model: |
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- ByteDance-Seed/Seed-Coder-8B-Base |
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--- |
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# Seed-Coder-8B-Instruct |
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## Introduction |
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Seed-Coder-8B-Instruct is an 8-billion-parameter model instruction-tuned specifically for code generation, code reasoning, and code understanding. It is built to empower developers with high-quality, efficient code assistance. It features: |
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- Trained on a **massively curated corpus**, where **an LLM-based filter** is applied to select **high-quality real-world code**, **text-code alignment data**, and **synthetic datasets** — ensuring cleaner and more useful data compared to traditional heuristic-based curation. |
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- Achieves superior performance across **code generation**, **bug fixing**, and **reasoning** tasks, rivaling or surpassing larger open-source code models. |
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- **Instruction-tuned** to reliably follow user intents across a diverse range of coding and reasoning prompts. |
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- Supports **long-context handling** up to 32K tokens, enabling processing of complex multi-file projects and detailed 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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## Model Downloads |
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| Model Name | Type | Length | Download | |
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|---------------------------------------------------------|----------|--------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
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| Seed-Coder-8B-Base | base | 32k | 🤗 [Hugging Face](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Base) | |
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| **👉Seed-Coder-8B-Instruct** | instruct | 32k | 🤗 [Hugging Face](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Instruct) | |
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| Seed-Coder-8B-Reasoning | reasoning | 32k | 🤗 [Hugging Face](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning) | |
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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 generate code using the Hugging Face `pipeline` API: |
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```python |
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import transformers |
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import torch |
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model_id = "ByteDance-Seed/Seed-Coder-8B-Instruct" |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model_id, |
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model_kwargs={"torch_dtype": torch.bfloat16}, |
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device_map="auto", |
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) |
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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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outputs = pipeline( |
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messages, |
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max_new_tokens=512, |
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) |
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print(outputs[0]["generated_text"][-1]["content"]) |
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``` |
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## Evaluation |
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Seed-Coder-8B-Instruct demonstrates strong performance across a variety of coding benchmarks, showing: |
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- Competitive or superior results compared to similarly sized open-source code models. |
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- Robustness across different programming languages and domains. |
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- Ability to understand, reason, and repair complex code snippets. |
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| Model | HumanEval | MBPP | MHPP | BigCodeBench (Full) | BigCodeBench (Hard) | LiveCodeBench (2410-2502) | |
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|:-----------------------------:|:---------:|:----:|:----:|:-------------------:|:-------------------:|:-------------------------:| |
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| CodeLlama-7B-Instruct | 40.9 | 54.0 | 6.7 | 21.9 | 3.4 | 3.6 | |
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| DeepSeek-Coder-6.7B-Instruct | 74.4 | 74.9 | 20.0 | 35.5 | 10.1 | 9.6 | |
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| CodeQwen1.5-7B-Chat | 83.5 | 77.7 | 17.6 | 39.6 | 18.9 | 3.0 | |
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| Yi-Coder-9B-Chat | 82.3 | 82.0 | 26.7 | 38.1 | 11.5 | 17.5 | |
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| Llama-3.1-8B-Instruct | 68.3 | 70.1 | 17.1 | 36.6 | 13.5 | 11.5 | |
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| OpenCoder-8B-Instruct | 83.5 | 79.1 | 30.5 | 40.3 | 16.9 | 17.1 | |
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| Qwen2.5-Coder-7B-Instruct | 88.4 | 82.0 | 26.7 | 41.0 | 18.2 | 17.3 | |
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| Seed-Coder-8B-Instruct | 84.8 | 85.2 | 36.2 | 53.3 | 20.5 | 24.7 | |
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For detailed results, please check our [📑 paper](https://arxiv.org/pdf/xxx.xxxxx). |
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## Citation |
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If you find our work helpful, feel free to give us a cite. |
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``` |
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@article{zhang2025seedcoder, |
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title={Seed-Coder: Let the Code Model Curate Data for Itself}, |
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author={Xxx}, |
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year={2025}, |
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eprint={2504.xxxxx}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/xxxx.xxxxx}, |
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} |
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``` |
