---
language:
- en
license: apache-2.0
tags:
- pretrained
- mlx
pipeline_tag: text-generation
inference:
  parameters:
    temperature: 0.7
extra_gated_description: If you want to learn more about how we process your personal
  data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
base_model: mistralai/Mistral-7B-v0.1
library_name: mlx
---

# Satrajith/wikisql-4bits.1k

This model [Satrajith/wikisql-4bits.1k](https://huggingface.co/Satrajith/wikisql-4bits.1k) was
converted to MLX format from [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
using mlx-lm version **0.24.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Satrajith/wikisql-4bits.1k")

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)
```