Quick start
ollama run llava-phi3:latestRunnable variants
Memory is a rough file-size estimate; context length, runtime and GPU offload change it.
4 of 4 matching variants shown.4 of 4 variants shown.
| Tag | Type | Inputs | Digest | Download | Parameters | Quantization | Context | Est. memory | Run |
|---|---|---|---|---|---|---|---|---|---|
| 3.8b | Typelocal | Inputstext, image | Digestc7edd7b87593 | Download2.9 GB | Parameters3.8b | QuantizationUnknown | Context4K | Est. memory≈ 4.5 GB | ollama run llava-phi3:3.8b |
| 3.8b-mini-fp16 | Typelocal | Inputstext, image | Digest39ed50ad5b22 | Download8.3 GB | Parameters3.8b | QuantizationFP16 | Context4K | Est. memory≈ 10.5 GB | ollama run llava-phi3:3.8b-mini-fp16 |
| 3.8b-mini-q4_0 | Typelocal | Inputstext, image | Digestc7edd7b87593 | Download2.9 GB | Parameters3.8b | QuantizationQ4_0 | Context4K | Est. memory≈ 4.5 GB | ollama run llava-phi3:3.8b-mini-q4_0 |
| latestdefault | Typelocal | Inputstext, image | Digestc7edd7b87593 | Download2.9 GB | ParametersUnknown | QuantizationUnknown | Context4K | Est. memory≈ 4.5 GB | ollama run llava-phi3:latest |
Related models
ministral-3local
The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware.
llavalocal
🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.
qwen2.5vllocal
Flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL.
translategemmalocal
A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.