Model ID
google/gemma-3-1b-it
Capabilities
Gemma 3 1B IT
Gemma 3 1B IT is a lightweight instruction-tuned dense transformer language model built using the same research and technology behind Gemini models. Built on a 1B parameter architecture, it features 26 transformer layers, 4 attention heads, and a 1,152 hidden size, using sliding-window attention mechanisms for efficient context processing. The model supports a 32K token context window and multilingual capabilities across 140+ languages, and is designed for efficient deployment on resource-constrained environments while maintaining strong performance on general language tasks.
About this model
Gemma 3 1B IT is a lightweight instruction-tuned dense transformer language model built using the same research and technology behind Gemini models. Built on a 1B parameter architecture, it features 26 transformer layers, 4 attention heads, and a 1,152 hidden size, using sliding-window attention mechanisms for efficient context processing. The model supports a 32K token context window and multilingual capabilities across 140+ languages, and is designed for efficient deployment on resource-constrained environments while maintaining strong performance on general language tasks.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (google/gemma-3-1b-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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