Qwen3-Esper3-Reasoning-CODER-Instruct-21B-Brainstorm20x-128k-ctx-q6-mlx

This model Qwen3-Esper3-Reasoning-CODER-Instruct-21B-Brainstorm20x-128k-ctx-q6-mlx was converted to MLX format from DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-21B-Brainstorm20x-128k-ctx using mlx-lm version 0.26.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Qwen3-Esper3-Reasoning-CODER-Instruct-21B-Brainstorm20x-128k-ctx-q6-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)