---
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: mlx-community/Qwen2.5-14B-Instruct-1M-8bit
tags:
- chat
- mlx
library_name: mlx
---

# parole-study-viper/speech-to-sql

This model [parole-study-viper/speech-to-sql](https://huggingface.co/parole-study-viper/speech-to-sql) was
converted to MLX format from [mlx-community/Qwen2.5-14B-Instruct-1M-8bit](https://huggingface.co/mlx-community/Qwen2.5-14B-Instruct-1M-8bit)
using mlx-lm version **0.23.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("parole-study-viper/speech-to-sql")

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)
```