Image-Text-to-Text
MLX
Safetensors
qwen3_5_moe
qwen
qwen-3.6
Mixture of Experts
rotor
nvfp4
apple-silicon
conversational
4-bit precision
Instructions to use majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4 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("majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4") config = load_config("majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4") # 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 majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4"
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": "majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4 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 "majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4"
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 majentik/Qwen3.6-35B-A3B-RotorQuant-MLX-NVFP4
Run Hermes
hermes
File size: 1,135 Bytes
baacf65 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"add_prefix_space": false,
"audio_bos_token": "<|audio_start|>",
"audio_eos_token": "<|audio_end|>",
"audio_token": "<|audio_pad|>",
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"image_token": "<|image_pad|>",
"is_local": true,
"model_max_length": 262144,
"model_specific_special_tokens": {
"audio_bos_token": "<|audio_start|>",
"audio_eos_token": "<|audio_end|>",
"audio_token": "<|audio_pad|>",
"image_token": "<|image_pad|>",
"video_token": "<|video_pad|>",
"vision_bos_token": "<|vision_start|>",
"vision_eos_token": "<|vision_end|>"
},
"pad_token": "<|endoftext|>",
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
"split_special_tokens": false,
"tokenizer_class": "TokenizersBackend",
"tool_parser_type": "qwen3_coder",
"unk_token": null,
"video_token": "<|video_pad|>",
"vision_bos_token": "<|vision_start|>",
"vision_eos_token": "<|vision_end|>"
}
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