---
tags:
- unsloth
- unsloth
license: mit
base_model:
- ByteDance-Seed/Seed-Coder-8B-Instruct
pipeline_tag: text-generation
library_name: transformers
---
# Seed-Coder-8B-Instruct
## 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.
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 Name | Length | Download | Notes |
|---------------------------------------------------------|--------|------------------------------------|-----------------------|
| Seed-Coder-8B-Base | 32K | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Base) | Pretrained on our model-centric code data. |
| 👉 **Seed-Coder-8B-Instruct** | 32K | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Instruct) | Instruction-tuned for alignment with user intent. |
| Seed-Coder-8B-Reasoning | 64K | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning) | RL trained to boost reasoning capabilities. |
| Seed-Coder-8B-Reasoning-bf16 | 64K | 🤗 [Model](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Reasoning-bf16) | RL 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.
| Model | HumanEval | MBPP | MHPP | BigCodeBench (Full) | BigCodeBench (Hard) | LiveCodeBench (2410 – 2502) |
|:-----------------------------:|:---------:|:----:|:----:|:-------------------:|:-------------------:|:-------------------------:|
| CodeLlama-7B-Instruct | 40.9 | 54.0 | 6.7 | 25.7 | 4.1 | 3.6 |
| DeepSeek-Coder-6.7B-Instruct | 74.4 | 74.9 | 20.0 | 43.8 | 15.5 | 9.6 |
| CodeQwen1.5-7B-Chat | 83.5 | 77.7 | 17.6 | 43.6 | 15.5 | 3.0 |
| Yi-Coder-9B-Chat | 82.3 | 82.0 | 26.7 | 49.0 | 17.6 | 17.5 |
| Llama-3.1-8B-Instruct | 68.3 | 70.1 | 17.1 | 40.5 | 13.5 | 11.5 |
| OpenCoder-8B-Instruct | 83.5 | 79.1 | 30.5 | 50.9 | 18.9 | 17.1 |
| Qwen2.5-Coder-7B-Instruct | **88.4** | 83.5 | 26.7 | 48.8 | 20.3 | 17.3 |
| Qwen3-8B | 84.8 | 77.0 | 32.8 | 51.7 | 23.0 | 23.5 |
| Seed-Coder-8B-Instruct | 84.8 | **85.2** | **36.2** | **53.3** | **26.4** | **24.7** |
For detailed benchmark performance, please refer to our [📑 Technical Report](https://github.com/ByteDance-Seed/Seed-Coder/blob/master/Seed-Coder.pdf).
## License
This project is licensed under the MIT License. See the [LICENSE file](https://github.com/ByteDance-Seed/Seed-Coder/blob/master/LICENSE) for details.
-Technical%20Report-brightgreen?logo=arxiv&logoColor=white){kind=icon}
