llava-onevision-qwen2-0.5b-ov-hf
Check out also the Google Colab demo to run Llava on a free-tier Google Colab instance:
Params
890 M
Context
—
Downloads 30d
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Likes
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Download history
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f16 | 1.8 GB | 2.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- LlavaOnevisionForConditionalGeneration
- Parameters
- 890 M
- Tensor type
- F16
- Licence
- apache-2.0
- First seen on the Hub
- 2024-08-13
- Training datasets
- lmms-lab/LLaVA-OneVision-Data
- Added to our catalog
- 2026-07-28
Compare with any image-text-to-text model