README.md

---
license: mit
language:
- en
- zh
pipeline_tag: text-generation
library_name: transformers
base_model: unsloth/GLM-4.5
tags:
- mlx
---

# huggingtoots/unsloth-GLM-4.5-MLX-2Bit

The Model [huggingtoots/unsloth-GLM-4.5-MLX-2Bit](https://huggingface.co/huggingtoots/unsloth-GLM-4.5-MLX-2Bit) was converted to MLX format from [unsloth/GLM-4.5](https://huggingface.co/unsloth/GLM-4.5) using mlx-lm version **0.26.4**.

## Toot's Note:
This model was converted and quantized utilizing unsloth's version of GLM-4.5.

If you want a free consulting session, [fill out this form](https://forms.gle/xM9gw1urhypC4bWS6) to get in touch! 

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("huggingtoots/GLM-4.5-mlx-2Bit")

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)
```