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---
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
tags:
- vllm
- mlx
- mlx-my-repo
base_model: openai/gpt-oss-20b
---
# sd17js2/gpt-oss-20b-mlx-4Bit
The Model [sd17js2/gpt-oss-20b-mlx-4Bit](https://huggingface.co/sd17js2/gpt-oss-20b-mlx-4Bit) was converted to MLX format from [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) 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("sd17js2/gpt-oss-20b-mlx-4Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```