README.md

metadata

license: apache-2.0
tags:
  - 'Thinking: Disabled'
  - Forge
  - code
  - mlx
datasets:
  - prithivMLmods/Open-Omega-Forge-1M
language:
  - en
base_model: prithivMLmods/Omega-Qwen2.5-Coder-3B
pipeline_tag: text-generation
library_name: mlx

Omega-Qwen2.5-Coder-3B-dwq6-mlx

This model Omega-Qwen2.5-Coder-3B-dwq6-mlx was converted to MLX format from prithivMLmods/Omega-Qwen2.5-Coder-3B using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Omega-Qwen2.5-Coder-3B-dwq6-mlx")

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)