README.md

---
license: mit
base_model: inclusionAI/Ling-flash-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
---

# NexVeridian/Ling-flash-2.0-3bit

This model [NexVeridian/Ling-flash-2.0-3bit](https://huggingface.co/NexVeridian/Ling-flash-2.0-3bit) was
converted to MLX format from [inclusionAI/Ling-flash-2.0](https://huggingface.co/inclusionAI/Ling-flash-2.0)
using mlx-lm version **0.28.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("NexVeridian/Ling-flash-2.0-3bit")

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)
```