🌌 Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX
Collection
MLX converted @ hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled • 4 items • Updated
How to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit with MLX:
# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm
from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config
# Load the model
model, processor = load("nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit")
config = load_config("nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit")
# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."
# Apply chat template
formatted_prompt = apply_chat_template(
processor, config, prompt, num_images=1
)
# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)How to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit with Pi:
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit"
# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
"providers": {
"mlx-lm": {
"baseUrl": "http://localhost:8080/v1",
"api": "openai-completions",
"apiKey": "none",
"models": [
{
"id": "nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit"
}
]
}
}
}# Start Pi in your project directory: pi
How to use nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit with Hermes Agent:
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit"
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit
hermes
# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bithermesThis model is a version of hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled converted via MLX 0.31.2
I do not recommend its use for practical applications as I have not yet completed testing on quantization for now.
4-bit
Base model
Qwen/Qwen3.6-35B-A3B
Start the MLX server
# Install MLX LM: uv tool install mlx-lm# Start a local OpenAI-compatible server: mlx_lm.server --model "nabi-chan/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit"