Image-Text-to-Text
MLX
Safetensors
lfm2_vl
liquid
lfm2
lfm2-vl
edge
lfm2.5-vl
lfm2.5
mlx-vlm
8bit
quantized
conversational
8-bit precision
Instructions to use mlx-community/LFM2.5-VL-450M-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/LFM2.5-VL-450M-8bit 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("mlx-community/LFM2.5-VL-450M-8bit") config = load_config("mlx-community/LFM2.5-VL-450M-8bit") # 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 mlx-community/LFM2.5-VL-450M-8bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/LFM2.5-VL-450M-8bit"
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": "mlx-community/LFM2.5-VL-450M-8bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mlx-community/LFM2.5-VL-450M-8bit 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 "mlx-community/LFM2.5-VL-450M-8bit"
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 mlx-community/LFM2.5-VL-450M-8bit
Run Hermes
hermes
File size: 623 Bytes
2f52612 | 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 | {
"image_processor": {
"do_image_splitting": false,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"downsample_factor": 2,
"encoder_patch_size": 16,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "Siglip2ImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"max_image_tokens": 256,
"max_num_patches": 256,
"min_image_tokens": 64,
"patch_size": 16,
"resample": 2,
"rescale_factor": 0.00392156862745098,
"tile_size": 512,
"use_thumbnail": false
},
"processor_class": "Lfm2VlProcessor"
}
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