Model ID
google/gemma-3-4b-it
Capabilities
Gemma 3 4B IT
Gemma 3 4B IT is an instruction-tuned multimodal transformer model built using research and technology from Gemini models. The model integrates text and vision processing, featuring a 4B parameter-class architecture with 34 transformer layers, a 2,560 hidden size, and a multimodal design combining a language backbone with a SigLIP-based vision encoder. It supports a 128K token context window with RoPE scaling for long-context understanding and can process images at 896×896 resolution encoded into 256 tokens.
About this model
Gemma 3 4B IT is an instruction-tuned multimodal transformer model built using research and technology from Gemini models. The model integrates text and vision processing, featuring a 4B parameter-class architecture with 34 transformer layers, a 2,560 hidden size, and a multimodal design combining a language backbone with a SigLIP-based vision encoder. It supports a 128K token context window with RoPE scaling for long-context understanding and can process images at 896×896 resolution encoded into 256 tokens.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (google/gemma-3-4b-it). Released under Gemma. Further reading: Paper · Blog
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Hardware
MI325X
2,048 GB
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on MI325X · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
AMD Instinct MI325X
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