---
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- vllm
- mlx
base_model: openai/gpt-oss-120b
---

# sealad886/gpt-oss-120b-MLX-native

This model [sealad886/gpt-oss-120b-MLX-native](https://huggingface.co/sealad886/gpt-oss-120b-MLX-native) was
converted to MLX format from [openai/gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b)
using mlx-lm version **0.26.3**.

> **Note:** command for conversion:
> ```bash
> mlx_lm.convert --hf-repo openai/gpt-oss-120b ... -q --q-bits 4
> ```
> 
> The version without doing an added 4-bit quant was in a 16-bit format (either bfloat16 or float16, I assume; I didn't check).

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("sealad886/gpt-oss-120b-MLX-native")

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)
```