Llava
App in the BluixApps catalog
What it is
LLaVA (Large Language-and-Vision Assistant) is the leading open-source GPT-4V alternative — a multimodal LLM that understands images and text together. Built by Haotian Liu et al. (Microsoft Research alumni). Variants include LLaVA-1.6/NeXT, LLaVA-OneVision (video understanding), and many community fine-tunes.
When you need self-hosted "ChatGPT with vision", LLaVA is the canonical open choice.
What it's for
- Image captioning — describe what's in an image in natural language
- Visual Q&A (VQA) — answer questions about uploaded images
- OCR-like text extraction — read text from images
- Chart / diagram understanding — interpret graphs, tables, schematics
- UI / screenshot understanding — describe app screens, web pages
- Multi-turn vision chat — ongoing conversation about an image
- Image content moderation — flag inappropriate visual content
Who it's for
- AI app developers integrating vision into their products
- Content moderation teams automating visual content review
- Accessibility engineers generating alt-text at scale
- Document AI builders extracting from scanned forms / receipts
- Hosting providers offering vision-language API tier
Why teams pick LLaVA over alternatives
- Apache 2.0 — fully open
- Top open multimodal performance — competitive with GPT-4V on many benchmarks
- Active research — frequent updates, OneVision adds video understanding
- Wide model variants — 7B, 13B, 34B options
- Mistral / Vicuna / Llama bases — multiple backbone options
- HF ecosystem integration — drop-in to common pipelines
Integrations
- Gradio web UI included
- HuggingFace Transformers pipeline
- OpenAI-style chat API via wrapper
- Pair with: BluixApps Whisper (image + spoken Q&A pipeline)
- Pair with: OCR (Surya) for text-heavy images
- ComfyUI nodes for vision-conditional generation
- LangChain integration for vision-aware agents
Notable users & community
- 23k+ GitHub stars
- Microsoft Research backing (original authors)
- Used in moderation, accessibility, doc AI products
- Multiple commercial integrations
- Active HF community with fine-tunes for specific domains
Tips & operations
- Model size by VRAM:
- LLaVA-1.6 Mistral 7B: 16 GB
- LLaVA-1.6 Vicuna 7B: 16 GB
- LLaVA-1.6 Vicuna 13B: 26 GB
- LLaVA-OneVision 7B: 16 GB (video support)
- First gen time: ~5-15 sec per image (model + size dependent)
- Multi-turn: model handles conversation history natively
- Quantization: 4-bit reduces VRAM by ~60% with mild quality loss
- API access: Gradio API at
/api/predict/0for automation - Prompt structure: be specific ("describe the layout", not "tell me about this")
- Best at: photos, illustrations, docs, screenshots, simple charts
- Weaker at: complex multi-panel docs, dense scientific figures
What we ship in BluixApps
- Cloned
haotian-liu/LLaVArepo - pytorch CUDA 12.4 base
- Multi-process launch (controller + worker + gradio server)
- Default model: liuhaotian/llava-v1.6-mistral-7b
- Persistent volumes: repo, models (HF cache)
- Port 7870 mapped
- Install report at
/root/bluixapps/llava.txt - Model variant guidance by VRAM
- Use case examples (moderation, alt-text, document AI)
- Pairing suggestions (Whisper for audio Q&A, OCR for text)
- GPU pre-flight check via
bluixapps_ensure_nvidia_runtime - Backup hook covers model cache
Get this app — pick a BluixApps plan
Same catalog. Scaling tenant isolation, white-label and support tier.
| Tier | Tenants | Catalog | Support | White-label | Monthly | |
|---|---|---|---|---|---|---|
| Stacks | 1 | 19 curated stacks | Standard | — | $19/mo | DetailDeploy |
| Starter | 10 | Full catalog | Standard | +$15–25/mo | $49/mo | DetailDeploy |
| Pro | 25 | Full catalog | Priority bugfix | +$15–25/mo | $149/mo | DetailDeploy |
| Growth | 100 | Full catalog | Priority bugfix | +$15–25/mo | $349/mo | DetailDeploy |
| Scale | 500 | Full catalog | 7-day window | +$15–25/mo | $799/mo | DetailDeploy |
| Enterprise | Unlimited | Full catalog | Priority 7-day | Bundled | $1,499/mo | DetailDeploy |
