metadata

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 was converted to MLX format from JetBrains/Mellum-4b-sft-kotlin using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm

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)