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Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
The Gemma 4 family of open-weights models from Google includes four variants, spanning a range of sizes from 2B effective parameters to 31B parameters and including both Mixture of Experts (MoE) and dense architectures. These multimodal models ingest text, vision, and for select variants, audio inputs and generate text outputs. They support context sizes of up to 256K tokens, and have been trained for thinking, coding, function calling, optical character recognition (OCR), object recognition and automatic speech recognition tasks. For relatively compact models they have outstanding language s
Day 0 Support for Gemma 4 on AMD Processors and GPUs… Point Lemonade to the ROCm build by setting the environment variable: export LEMONADE LLAMACPP ROCM BIN=/path/to/llama-server Start Lemonade and load the Gemma 4 model via the API: lemonade-server serve curl http://localhost:8000/api/v1/pull \ -H "Content-Type: application/json" \ -d '{"model name"… …
… In the second half of 2025, AMD plans to enable developers to develop with ROCm locally on their own Linux or Windows device, with their own data, instead of relying on the cloud. …
… May 21, 2026 Agent Computers: Pay Once for Cloud-Grade Intelligence Explore how AMD-powered Agent Computers bring cloud-grade AI closer to users with local performance, predictable costs, and more control for sustained AI workloads. …