README.md

---
license: mit
library_name: mlx
pipeline_tag: text-generation
base_model: ByteDance-Seed/Seed-Coder-8B-Base
tags:
- mlx
---

# Seed-Coder-8B-Base-DWQ

This model [Seed-Coder-8B-Base-DWQ](https://huggingface.co/TechxGenus/Seed-Coder-8B-Base-DWQ) was
converted to MLX format from [Seed-Coder-8B-Base](https://huggingface.co/ByteDance-Seed/Seed-Coder-8B-Base).

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate
model, tokenizer = load("TechxGenus/Seed-Coder-8B-Base-DWQ")
prompt = "def quick_sort(arr):"
if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```