ai/gemma3-vllm
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Google’s latest Gemma, small yet strong for chat and generation
Model
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10K+
ai/gemma3-vllm repository overview
Gemma 3
Gemma is a versatile AI model family designed for tasks like question answering, summarization, and reasoning. With open weights and responsible commercial use, it supports image-text input, a 128K token context, and over 140 languages.
Characteristics
| Attribute | Details |
|---|---|
| Provider | Google DeepMind |
| Architecture | Gemma3 |
| Cutoff date | - |
| Languages | 140 languages |
| Tool calling | ❌ |
| Input modalities | Text, Image |
| Output modalities | Text, Code |
| License | Gemma Terms |
Use this AI model with Docker Model Runner
Run the model:
docker model run ai/gemma3-vllm
For more information on Docker Model Runner, explore the documentation.
Benchmark performance
| Category | Benchmark | Value |
|---|---|---|
| General | MMLU | 59.6 |
| GSM8K | 38.4 | |
| ARC-Challenge | 56.2 | |
| BIG-Bench Hard | 50.9 | |
| DROP | 60.1 | |
| STEM & Code | MATH | 24.2 |
| MBPP | 46.0 | |
| HumanEval | 36.0 | |
| Multilingual | MGSM | 34.7 |
| Global-MMLU-Lite | 57.0 | |
| XQuAD (all) | 68.0 | |
| Multimodal | VQAv2 | 63.9 |
| TextVQA | 58.9 | |
| DocVQA | 72.8 |
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Tag summary
Content type
Model
Digest
sha256:f1a27fedd…
Size
8 GB
Last updated
5 months ago
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