Image-Text-to-Text
MLX
Safetensors
English
qwen3_5
apple-silicon
oq
quantized
mtp
vlm
vision-language-model
multimodal
qwen
conversational
4-bit precision
Instructions to use tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp 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("tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp") config = load_config("tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp") # 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 tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp"
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": "tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp 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 "tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp"
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 tongrow/MLX-Qwopus3.5-9B-Coder-oQ4-fp16-mtp
Run Hermes
hermes
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| "model_name": "Jackrong/Qwopus3.5-9B-v3.5", | |
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| "pad_token_id": 248055, | |
| "text_config": { | |
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