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language:
- en
- zh
library_name: mlx
license: mit
pipeline_tag: text-generation
tags:
- mlx
base_model: zai-org/GLM-4.7
---
# mlx-community/GLM-4.7-8bit-gs32
This model [mlx-community/GLM-4.7-8bit-gs32](https://huggingface.co/mlx-community/GLM-4.7-8bit-gs32) was
converted to MLX format from [zai-org/GLM-4.7](https://huggingface.co/zai-org/GLM-4.7)
using mlx-lm version **0.30.0**.
## Recipe:
* 8-bit
* group-size 32
* 9 bits per weight (bpw)
You can find more similar MLX model quants for Apple Mac Studio with 512 GB at https://huggingface.co/bibproj
---
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/GLM-4.7-8bit-gs32")
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)
```
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