Tagged "gemma-model"
6 articles tagged gemma-model, 22 February 2026 to 25 May 2026. Newest first.
-
Gemma 4: A New Budget-Focused Model in Posit AI
Google releases Gemma 4, a new lightweight model optimized for budget-conscious local deployment scenarios. This addition to the Gemma family targets edge inference and resource-constrained environments.
-
Google's Gemma 4 Finally Makes Local LLM Deployment Compelling for Practitioners
Google's latest Gemma 4 model release has sparked renewed interest in running local LLMs, offering improved performance and efficiency that makes on-device deployment more practical than previous generations. The model strikes a meaningful balance between capability and computational requirements.
-
Gemma 4 Support Stabilized in Llama.cpp
Major fixes for Gemma 4 models have been merged into Llama.cpp, resolving known issues and enabling stable inference. Users report successful deployments of Gemma 4 31B on Q5 quantizations without problems.
-
Gemma 4 26B Achieves Impressive Local Performance With Proper Configuration
Users report Gemma 4 26B delivering 80-110 tokens/second on RTX 3090 with excellent tool-calling reliability when properly configured. The model demonstrates significant improvements over previous versions in both speed and functionality for local deployment.
-
Gemma 4 KV Cache Memory Issues Fixed in llama.cpp
llama.cpp has released critical fixes for Gemma 4's KV cache implementation, dramatically reducing VRAM consumption and making the model practical for local deployment on consumer hardware.
-
O-TITANS: Orthogonal LoRA Framework for Gemma 3 with Google TITANS Memory Architecture
A new fine-tuning approach called O-TITANS combines Orthogonal LoRA techniques with Google's TITANS memory architecture specifically for Gemma 3, enabling more efficient adaptation for local deployment scenarios.