README.md

---
language:
- en
- zh
library_name: transformers
license: mit
pipeline_tag: text-generation
base_model: zai-org/GLM-4.7
tags:
- mlx
---

# mrtoots/GLM-4.7-mlx-6Bit

The Model [mrtoots/GLM-4.7-mlx-6Bit](https://huggingface.co/mrtoots/GLM-4.7-mlx-6Bit) was converted to MLX format from [zai-org/GLM-4.7](https://huggingface.co/zai-org/GLM-4.7) using mlx-lm version **0.28.3**.


## Toots' Note:
This model was converted and quantized utilizing Z.ai's base version of GLM-4.7.

Please follow and support [Z.ai's work](https://huggingface.co/zai-org) 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/GLM-4.7-mlx-6Bit")

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)
```