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---
license: other
base_model: facebook/KernelLLM
datasets:
- ScalingIntelligence/KernelBench
- GPUMODE/KernelBook
library_name: transformers
tags:
- mlx
---
# mlx-community/KernelLLM-6bit
The Model [mlx-community/KernelLLM-6bit](https://huggingface.co/mlx-community/KernelLLM-6bit) was converted to MLX format from [facebook/KernelLLM](https://huggingface.co/facebook/KernelLLM) using mlx-lm version **0.22.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/KernelLLM-6bit")
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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