Image-Text-to-Text
MLX
Safetensors
English
Chinese
qwen3_5
apple-silicon
dwq
4-bit precision
vision-language
video
reasoning
tool-calling
mtp
crack
conversational
Instructions to use WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX 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("WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX") config = load_config("WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX") # 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 Settings
- LM Studio
- Pi
How to use WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX 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 "WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX"
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 WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
| { | |
| "artifact": { | |
| "intended_repo": "WaveCut/Qwen3.8-27B-CRACK-DWQ-4bit-MLX", | |
| "library": "mlx", | |
| "pipeline_tag": "image-text-to-text" | |
| }, | |
| "build": { | |
| "repository_commit": "e7a7155", | |
| "method": "DWQ sparse-teacher distillation of affine scales and biases", | |
| "teacher": "pinned source MXFP8 CRACK", | |
| "temperature": 2.0, | |
| "learning_rate": 3e-7, | |
| "train_updates": 128, | |
| "heldout_records": 16, | |
| "heldout_loss": { | |
| "rtn_q4_g64": 0.168036, | |
| "dwq_q4_g64": 0.093706, | |
| "relative_reduction": 0.44235 | |
| } | |
| }, | |
| "calibration": { | |
| "unique_records": 128, | |
| "mix": { | |
| "tool_calling": 48, | |
| "swe_agent": 32, | |
| "multilingual": 32, | |
| "code": 16 | |
| }, | |
| "datasets": [ | |
| "NousResearch/hermes-function-calling-v1", | |
| "nebius/SWE-agent-trajectories", | |
| "CohereLabs/aya_dataset", | |
| "openai/openai_humaneval" | |
| ], | |
| "crc32": { | |
| "source_manifest": "ed8b9ebf", | |
| "pilot_train_48": "c137585c", | |
| "continuation_train_80": "7e7f5e86", | |
| "heldout_16": "78835208" | |
| } | |
| }, | |
| "components": { | |
| "language": { | |
| "tensors": 1847, | |
| "quantization": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| } | |
| }, | |
| "vision": { | |
| "tensors": 417, | |
| "value_identical_to_source": true | |
| }, | |
| "mtp": { | |
| "tensors": 31, | |
| "byte_identical_to_source": true, | |
| "shard_crc32": "d54df83d", | |
| "quantization": { | |
| "bits": 8, | |
| "group_size": 128, | |
| "mode": "affine" | |
| } | |
| }, | |
| "chat_template": { | |
| "byte_identical_to_source": true, | |
| "crc32": "367cbad5" | |
| } | |
| }, | |
| "runtime": { | |
| "platform": "Apple Silicon Metal", | |
| "mlx": "0.32.0", | |
| "mlx_lm": "0.31.3", | |
| "mlx_vlm": "0.6.13", | |
| "runtime_fork_required": false, | |
| "custom_model_code_required": false | |
| }, | |
| "source": { | |
| "repo": "dealignai/Qwen3.8-27B-MXFP8-CRACK", | |
| "revision": "7d2f222cbc732a35d3be65710c6053a3b28e1493" | |
| } | |
| } | |