---
license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
tags:
- chat
- mlx
- mlx-my-repo
base_model: Qwen/Qwen1.5-110B-Chat
---

# YuHaaa/Qwen1.5-110B-Chat-mlx-3Bit

This model runs smoothly on a Mac with 64GB of unified memory, exuding a sense of steadfast wisdom and making it an excellent choice for experiencing large-parameter models.
The Model [YuHaaa/Qwen1.5-110B-Chat-mlx-3Bit](https://huggingface.co/YuHaaa/Qwen1.5-110B-Chat-mlx-3Bit) was converted to MLX format from [Qwen/Qwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat) using mlx-lm version **0.22.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("YuHaaa/Qwen1.5-110B-Chat-mlx-3Bit")

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)
```