Install LFM2.5-VL-450M Windows 11

Install LFM2.5-VL-450M Windows 11

Using Docker is the absolute quickest way to install this model on your local machine.

Make sure to follow the instructions below.

Next, execute the setup script or run docker-compose.

🧩 Hash sum → 28b723f9d51e5db2b2273727b94a4013 — Update date: 2026-06-21



  • Processor: next-gen chip for heavy context processing
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

The LFM2.5-VL-450M is a state‑of‑the‑art multimodal language model that combines advanced vision and language understanding in a single unified architecture. It leverages a large‑scale contrastive pre‑training regimen that aligns image embeddings with textual representations, enabling precise cross‑modal retrieval. With 450 million parameters, the model achieves competitive performance on benchmark datasets while maintaining a relatively small memory footprint. Its design incorporates a hierarchical attention mechanism that dynamically focuses on salient visual regions and contextual words, improving coherence in generated captions. The model supports real‑time inference on consumer‑grade hardware and is optimized for integration into applications requiring robust visual‑language tasks such as image captioning, visual question answering, and content moderation. It was trained on a diverse collection of publicly available image‑text pairs and curated domain‑specific datasets, ensuring broad coverage and reduced bias.

Parameters 450 M
Input Modalities Text, Images
Output Modalities Text (captions, Q&A), Image tags
Training Data Public image‑text pairs + curated datasets
Inference Speed Real‑time on consumer GPUs
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