README.md

---
library_name: mlx
license: apache-2.0
pipeline_tag: text-generation
base_model: Jinx-org/Jinx-gpt-oss-20b-mxfp4
tags:
- vllm
- mlx
extra_gated_heading: You need to read and agree to the Disclaimer and User Agreementa
  to access this model.
extra_gated_description: '

  ## Disclaimer and User Agreement


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  2. Nature of the Model & Risk Notice

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  inaccurate, false, offensive, violent, sexual, discriminatory, politically sensitive,
  or otherwise uncontrolled content.


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extra_gated_button_content: I've read and agree
---

# mlx-community/Jinx-gpt-oss-20b-mxfp4-mlx

This model [mlx-community/Jinx-gpt-oss-20b-mxfp4-mlx](https://huggingface.co/mlx-community/Jinx-gpt-oss-20b-mxfp4-mlx) was
converted to MLX format from [Jinx-org/Jinx-gpt-oss-20b-mxfp4](https://huggingface.co/Jinx-org/Jinx-gpt-oss-20b-mxfp4)
using mlx-lm version **0.27.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Jinx-gpt-oss-20b-mxfp4-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)
```