Instructions to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality 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("Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality") config = load_config("Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality") # 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) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Pi new
How to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality"
Configure the model in Pi
# 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": "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality"
Configure 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 Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality
Run Hermes
hermes
Qwen3.6 27B MTPLX Optimized Quality
This is the MTPLX Optimized Quality artifact for Qwen3.6 27B.
Policy:
- Target trunk: true flat 8-bit MLX affine quantization, group64.
- MTP sidecar: calibrated CyanKiwi INT8 MTP linears converted from
cyankiwi/Qwen3.6-27B-AWQ-BF16-INT8compressed-tensors format to MLX affine group128. - MTP auxiliary tensors (
mtp.fc, norms, scales/biases, and non-linear tensors) are preserved in BF16 where applicable.
This is intended as the higher-quality sibling to Qwen3.6-27B-MTPLX-Optimized-Speed. It favors the Flat8 target and calibrated INT8 proposal sidecar instead of the smaller speed-focused artifact.
MTPLX
mtplx start --model Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality
The artifact includes mtplx_runtime.json and mtp.safetensors, so MTPLX can inspect and route it through the native Qwen MTP backend.
Local bakeoff snapshot
Measured on the local M5 Max max-fan Flappy 2k depth-3 bakeoff:
| Metric | Value |
|---|---|
| Decode TPS | 33.63 |
| Acceptance D1/D2/D3 | 95.6% / 85.3% / 74.1% |
| Verify ms/call | 88.1 ms |
| Peak memory | 27.62 GiB |
This row is a local release-readiness check, not a broad public hardware claim.
Provenance
- Base model:
Qwen/Qwen3.6-27B - INT8 MTP source:
cyankiwi/Qwen3.6-27B-AWQ-BF16-INT8 - MTPLX staging manifest:
mtplx_upload_manifest.json
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Model tree for Youssofal/Qwen3.6-27B-MTPLX-Optimized-Quality
Base model
Qwen/Qwen3.6-27B