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unsloth/Seed-Coder-8B-Instruct-GGUF

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Seed-Coder-8B-Instruct

<div align="left" style="line-height: 1;"> <a href="https://bytedance-seed-coder.github.io/" target="_blank" style="margin: 2px;"> <img alt="Homepage" src="https://img.shields.io/badge/Seed--Coder-Homepage-a468fe?color=a468fe&logoColor=white" style="display: inline-block; vertical-align: middle;"/> </a>

<a href="https://github.com/ByteDance-Seed/Seed-Coder/blob/master/Seed-Coder.pdf" target="_blank" style="margin: 2px;"> <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;"/> </a>

<a href="https://huggingface.co/ByteDance-Seed" target="_blank" style="margin: 2px;"> <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;"/> </a>

<a href="https://github.com/ByteDance-Seed/Seed-Coder/blob/master/LICENSE" style="margin: 2px;"> <img alt="License" src="https://img.shields.io/badge/License-MIT-f5de53?color=f5de53&logoColor=white" style="display: inline-block; vertical-align: middle;"/> </a> </div>

Introduction

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.

  • —Model-centric: Seed-Coder predominantly leverages LLMs instead of hand-crafted rules for code data filtering, minimizing manual effort in pretraining data construction.
  • —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.
  • —Powerful: Seed-Coder achieves state-of-the-art performance among open-source models of comparable size across a diverse range of coding tasks.

<p align="center"> <img width="100%" src="imgs/seed-coderintroperformance.png"> </p>

This repo contains the Seed-Coder-8B-Instruct model, which has the following features:

  • —Type: Causal language models
  • —Training Stage: Pretraining & Post-training
  • —Data Source: Public datasets, synthetic data
  • —Context Length: 32,768

Model Downloads

Model NameLengthDownloadNotes
Seed-Coder-8B-Base32K🤗 ModelPretrained on our model-centric code data.
👉 Seed-Coder-8B-Instruct32K🤗 ModelInstruction-tuned for alignment with user intent.
Seed-Coder-8B-Reasoning64K🤗 ModelRL trained to boost reasoning capabilities.
Seed-Coder-8B-Reasoning-bf1664K🤗 ModelRL trained to boost reasoning capabilities.

Requirements

You will need to install the latest versions of transformers and accelerate:

bash
pip install -U transformers accelerate

Quickstart

Here is a simple example demonstrating how to load the model and generate code using the Hugging Face pipeline API:

python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_id = "ByteDance-Seed/Seed-Coder-8B-Instruct"

tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)

messages = [
    {"role": "user", "content": "Write a quick sort algorithm."},
]

input_ids = tokenizer.apply_chat_template(
    messages,
    tokenize=True,
    return_tensors="pt",
    add_generation_prompt=True,  
).to(model.device)

outputs = model.generate(input_ids, max_new_tokens=512)
response = tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=True)
print(response)

Evaluation

Seed-Coder-8B-Instruct has been evaluated on a wide range of coding tasks, including code generation, code reasoning, code editing, and software engineering, achieving state-of-the-art performance among ~8B open-source models.

ModelHumanEvalMBPPMHPPBigCodeBench (Full)BigCodeBench (Hard)LiveCodeBench (2410 – 2502)
CodeLlama-7B-Instruct40.954.06.725.74.13.6
DeepSeek-Coder-6.7B-Instruct74.474.920.043.815.59.6
CodeQwen1.5-7B-Chat83.577.717.643.615.53.0
Yi-Coder-9B-Chat82.382.026.749.017.617.5
Llama-3.1-8B-Instruct68.370.117.140.513.511.5
OpenCoder-8B-Instruct83.579.130.550.918.917.1
Qwen2.5-Coder-7B-Instruct88.483.526.748.820.317.3
Qwen3-8B84.877.032.851.723.023.5
Seed-Coder-8B-Instruct84.885.236.253.326.424.7

For detailed benchmark performance, please refer to our 📑 Technical Report.

License

This project is licensed under the MIT License. See the LICENSE file for details.

<!-- ## Citation

If you find our work helpful, feel free to give us a cite.

@article{zhang2025seedcoder,
    title={Seed-Coder: Let the Code Model Curate Data for Itself},
    author={Xxx},
    year={2025},
    eprint={2504.xxxxx},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/xxxx.xxxxx}, 
}