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---
license: apache-2.0
datasets:
- bigcode/the-stack
- bigcode/the-stack-v2
- bigcode/starcoderdata
- bigcode/commitpack
library_name: mlx
tags:
- code
- mlx
base_model: JetBrains/Mellum-4b-sft-kotlin
pipeline_tag: text-generation
---
# mlx-community/Mellum-4b-sft-kotlin-4bit
This model [mlx-community/Mellum-4b-sft-kotlin-4bit](https://huggingface.co/mlx-community/Mellum-4b-sft-kotlin-4bit) was
converted to MLX format from [JetBrains/Mellum-4b-sft-kotlin](https://huggingface.co/JetBrains/Mellum-4b-sft-kotlin)
using mlx-lm version **0.25.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Mellum-4b-sft-kotlin-4bit")
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)
```
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