Model ID
google/gemma-3-270m-it
Capabilities
Gemma 3 270M IT
Gemma 3 270M IT is a lightweight instruction-tuned dense transformer language model derived from the same research used for Gemini models. Built on a 270M parameter architecture, it features 18 transformer layers, 4 attention heads, and a 640 hidden size, using a combination of sliding-window and full attention mechanisms for efficient context processing. The model supports a 32K token context window and multilingual capabilities across 140+ languages, and is optimized for lightweight deployment on resource-constrained environments such as laptops and edge infrastructure.
About this model
Gemma 3 270M IT is a lightweight instruction-tuned dense transformer language model derived from the same research used for Gemini models. Built on a 270M parameter architecture, it features 18 transformer layers, 4 attention heads, and a 640 hidden size, using a combination of sliding-window and full attention mechanisms for efficient context processing. The model supports a 32K token context window and multilingual capabilities across 140+ languages, and is optimized for lightweight deployment on resource-constrained environments such as laptops and edge infrastructure.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (google/gemma-3-270m-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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