---
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-8bit

This model [mlx-community/Mellum-4b-sft-kotlin-8bit](https://huggingface.co/mlx-community/Mellum-4b-sft-kotlin-8bit) 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-8bit")

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)
```