Image-Text-to-Text
Safetensors
MLX
mlx-vlm
qwen3_5_moe
vision-language-model
qwen
fine-tuned
conversational
6-bit
Instructions to use pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit 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("pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit") config = load_config("pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit") # 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 pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit"
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": "pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit 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 "pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit"
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 pt-ml/FineVine-Qwen3.5-35B-A3B-Vision-MLX-V18-6bit
Run Hermes
hermes
File size: 135 Bytes
53e10c8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f7f6dccee003bfcc14b07bbb2a9b7d6129cda88934dd287cdb9edcfb0e73b89c
size 5189694324
|