---
base_model: macadeliccc/Samantha-Qwen-2-7B
datasets:
- macadeliccc/opus_samantha
- HuggingfaceH4/ultrachat_200k
- teknium/OpenHermes-2.5
- Sao10K/Claude-3-Opus-Instruct-15K
language:
- en
- zh
license: apache-2.0
tags:
- mlx
---

# mlx-community/Samantha-Qwen-2-7B-4bit

The Model [mlx-community/Samantha-Qwen-2-7B-4bit](https://huggingface.co/mlx-community/Samantha-Qwen-2-7B-4bit) was converted to MLX format from [macadeliccc/Samantha-Qwen-2-7B](https://huggingface.co/macadeliccc/Samantha-Qwen-2-7B) using mlx-lm version **0.19.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Samantha-Qwen-2-7B-4bit")

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)
```