---
license: mit
base_model: moonshotai/Kimi-Dev-72B
tags:
- code
- swebench
- software
- issue-resolving
- mlx
library_name: mlx
pipeline_tag: text-generation
---

# NexVeridian/Kimi-Dev-72B-4bit

This model [NexVeridian/Kimi-Dev-72B-4bit](https://huggingface.co/NexVeridian/Kimi-Dev-72B-4bit) was
converted to MLX format from [moonshotai/Kimi-Dev-72B](https://huggingface.co/moonshotai/Kimi-Dev-72B)
using mlx-lm version **0.26.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("NexVeridian/Kimi-Dev-72B-4bit")

prompt = "hello"

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)
```