---
license: apache-2.0
base_model: internlm/JanusCoderV-7B
library_name: mlx
pipeline_tag: image-text-to-text
tags:
- mlx
---

# JanusCoderV-7B-qx86-hi-mlx

This model [JanusCoderV-7B-qx86x-hi-mlx](https://huggingface.co/nightmedia/JanusCoderV-7B-qx86-hi-mlx) was
converted to MLX format from [internlm/JanusCoderV-7B](https://huggingface.co/internlm/JanusCoderV-7B)
using mlx-lm version **0.28.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("JanusCoderV-7B-qx86-hi-mlx")

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)
```
#