Update README.md

README.md

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----
-license: apache-2.0
-pipeline_tag: text-generation
-library_name: transformers
-tags:
-- vllm
-- mlx
-- mlx-my-repo
-base_model: unsloth/gpt-oss-120b
----
-
-# mrtoots/unsloth-gpt-oss-120b-mlx-8Bit
-
-The Model [mrtoots/unsloth-gpt-oss-120b-mlx-8Bit](https://huggingface.co/mrtoots/unsloth-gpt-oss-120b-mlx-8Bit) was converted to MLX format from [unsloth/gpt-oss-120b](https://huggingface.co/unsloth/gpt-oss-120b) using mlx-lm version **0.26.4**.
-
-
-## Toots' Note:
-This model was converted and quantized utilizing unsloth's version of gpt-oss-120b.
-
-Please follow and support [unsloth's work](https://huggingface.co/unsloth) if you like it!
-
-🦛 <span style="color:#800080">If you want a free consulting session, </span>[fill out this form](https://forms.gle/xM9gw1urhypC4bWS6) <span style="color:#800080">to get in touch!</span> 🤗
-
-
-## Use with mlx
-
-```bash
-pip install mlx-lm
-```
-
-```python
-from mlx_lm import load, generate
-
-model, tokenizer = load("mrtoots/gpt-oss-120b-mlx-8Bit")
-
-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)
-```