README.md

metadata

license: apache-2.0
base_model: DavidAU/Qwen3-Jan-Nano-128k-6B-Brainstorm20x
language:
  - en
pipeline_tag: text-generation
tags:
  - merge
  - programming
  - code generation
  - code
  - coding
  - coder
  - chat
  - brainstorm
  - qwen
  - qwen3
  - qwencoder
  - brainstorm20x
  - mlx
library_name: mlx

Qwen3-Jan-Nano-128k-6B-Brainstorm20x-q8-mlx

This model Qwen3-Jan-Nano-128k-6B-Brainstorm20x-q8-mlx was converted to MLX format from DavidAU/Qwen3-Jan-Nano-128k-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-Jan-Nano-128k-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)