Curiosity · AI Model
VILA 1.5 40B
VILA 1.5 40B is NVIDIA Research's flagship open-weight vision-language model, released in 2024. Built on Yi-34B (and a 40B variant) with a CLIP-style vision encoder, VILA introduced interleaved image-text pretraining that gives it strong in-context visual learning — it can answer about multi-image sequences and short videos more naturally than single-image VLMs.
Model specs
- Vendor
- NVIDIA
- Family
- VILA
- Released
- 2024-05
- Context window
- 4,096 tokens
- Modalities
- text, vision, video
Strengths
- Interleaved pretraining improves multi-image and video Q&A
- NVIDIA-optimised for TensorRT-LLM inference
- Open-weight for research and most commercial use
Limitations
- Small 4k context limits long-document multimodal RAG
- Benchmarks trail Molmo 72B and frontier closed VLMs
- Full 40B model needs multi-GPU inference
Use cases
- Multi-image reasoning (compare two screenshots, photo sets)
- Short-video question answering
- NVIDIA-accelerated visual agents on Jetson / RTX hardware
- Research on interleaved image-text pretraining
Benchmarks
| Benchmark | Score | As of |
|---|---|---|
| MMMU | ~51% | 2026-04 |
| VQAv2 | ~83% | 2026-04 |
| Video-MME | ~48% | 2026-04 |
Frequently asked questions
What is VILA 1.5 40B?
VILA 1.5 40B is NVIDIA's open-weight vision-language model, fine-tuned on top of Yi-34B-class LLM backbones with a CLIP vision encoder. It features interleaved image-text training for better multi-image and video reasoning.
What is VILA's edge story?
Smaller VILA variants (3B, 8B) target NVIDIA Jetson and RTX hardware with TensorRT-LLM, enabling on-device multimodal inference. The 40B model is cloud-only.
Sources
- VILA on HuggingFace — accessed 2026-04-20
- VILA paper (arXiv) — accessed 2026-04-20