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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)
```
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