---
frameworks:
- Pytorch
license: other
license_name: glm-4
license_link: LICENSE
pipeline_tag: text-generation
tags:
- glm
- edge
- mlx
inference: false
base_model: zai-org/glm-edge-4b-chat
library_name: mlx
---

# FalconDev25/glm-edge-4b-chat-4bit

This model [FalconDev25/glm-edge-4b-chat-4bit](https://huggingface.co/FalconDev25/glm-edge-4b-chat-4bit) was
converted to MLX format from [zai-org/glm-edge-4b-chat](https://huggingface.co/zai-org/glm-edge-4b-chat)
using mlx-lm version **0.29.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("FalconDev25/glm-edge-4b-chat-4bit")

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)
```