👁 LLaVA
LLaVA
LLaVA 1.6 13B
Current
28.2KDownloads245LikesJan 2024Released4K tokensContextApache 2.0License56 GoodQuality
LLaVA 1.6 13B (13B parameters) requires approximately 21.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 26 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run LLaVA 1.6 13B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "liuhaotian/llava-v1.6-mistral-7b" \
--hf-file "llava-v1.6-mistral-7b-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters13B
Architecturedense
Context4K tokens
Modalitytext+vision
Min RAM5.1 GB
Rec. RAM7.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyLLaVA
✓ Vision✓ Chat
About this model
- •558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP
- •158K GPT-generated multimodal instruction-following data
- •500K academic-task-oriented VQA data mixture
- •50K GPT-4V data mixture
- •40K ShareGPT data
Related models
Your hardware
Detecting...
Quick picks
Best hardware
Top picks for LLaVA 1.6 13B
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.1 GB | Low | — |
Q3_K_S | 3 | 6.4 GB | Low | — |
NVFP4 | 4 | 7.3 GB | Medium | — |
Q4_K_M | 4 | 7.9 GB | Medium | — |
Q5_K_M | 5 | 9.4 GB | High | — |
Q6_K | 6 | 10.7 GB | High | — |
Q8_0 | 8 | 13.9 GB | Very High | — |
F16 | 16 | 26.7 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights7.9 GB
KV Cache12.2 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — LLaVA 1.6 13B
See also