license, datasets, base_model, language, pipeline_tag, tags, library_name

license	datasets	base_model	language	pipeline_tag	tags	library_name
apache-2.0	nvidia/OpenCodeReasoning vicgalle/creative-rubrics-gpt-4.5-o3-R1	DavidAU/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x	en	text-generation	merge programming code generation code coding coder chat brainstorm qwen qwen3 qwencoder brainstorm20x unsloth trl sft cot reasoning thinking think mlx	mlx

Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x-q8-mlx

This model Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x-q8-mlx was converted to MLX format from DavidAU/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x-q8-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)