Gemma 2
Gemma 2 is a large language model developed by Google, released as part of the Gemma family of open-source models. It is designed to balance performance and efficiency, making it suitable for deployment on consumer-grade hardware.
Hardware Requirements and Performance
Gemma 2 can be run in quantized form on NVIDIA GPUs with 48GB of VRAM. In this configuration, quantized versions of the 27B parameter variant represent a viable option for local inference alongside comparable models such as Llama 3.1 70B, Qwen 2 72B, and Mistral Large. Quantization reduces model size and memory requirements while maintaining reasonable performance for instruction-following tasks.
Capabilities
The model is capable of handling well-instructed language tasks and instruction-following workloads. Its design emphasizes practical usability for development and deployment scenarios where computational resources are constrained compared to the largest available language models.
- 2026-04-27 2026-04-27-Google-Gemma-4-Open-Weight-AI-for-Local-Private-Executio ← Google Gemma 4 Open Weight Ai For Local Private Executio
- 2026-04-07 2026-04-07-Google-Gemma-4-Open-Weight-Models-Apache-20-and-Enhanced-AI ← Google Gemma 4 Open Weight Models Apache 20 And Enhanced Ai
- 2026-04-08 2026-04-08-Google-Gemma-4-Open-Weight-Models-Apache-20-and-Enhanced-AI ← Google Gemma 4 Open Weight Models Apache 20 And Enhanced Ai