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base_model: mistralai/Mistral-7B-v0.1
language:
- en
license: apache-2.0
pipeline_tag: text-generation
tags:
- pretrained
- mlx
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>.
---
# bkoo/wikisql-4bit-1k
The Model [bkoo/wikisql-4bit-1k](https://huggingface.co/bkoo/wikisql-4bit-1k) was converted to MLX format from [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) using mlx-lm version **0.18.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("bkoo/wikisql-4bit-1k")
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)
```
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