gemma

A developer successfully integrated Gemma 4 AI model into the Godot game engine using only GDScript and Vulkan compute shaders, enabling local AI inference within games.

SuperGemma 26B is a fully uncensored AI model that can run locally on your machine. This tweet demonstrates how to set it up.

A user shares their successful attempt to extend a fine-tuned Gemma model by inserting new layers, overcoming initialization failures to create extGemma4-40_5B without wrecking the original capabilities.

Hugging Face CEO Clement Delangue comments on the potential for agent network effects after the Google Gemma Challenge achieved a 5x inference speedup on Gemma 4 through collaboration of over 100 AI agents and humans.

Discussion or report about a potential deadlock situation between Qwen and Gemma AI models in benchmark performance.

A user praises the Gemma 4 e2b model for its speed and output quality on low-end hardware, comparing it favorably to ChatGPT 3.5 and 4, and asks for recommendations on other small models that work well on older computers.

User seeks advice on running llama.cpp with Gemma 4 E2B on an Intel N100 mini PC, asking whether to use CPU or iGPU and which backend to target.

Explores using Google's Gemma diffusion model as a speculative model for efficient large language model inference.

User runs local benchmarks comparing Qwen3.6 27b, Gemma4 26B, and Ornith1.0 35B on an RTX 3090 using inspect-ai. Results show Qwen leading in knowledge and coding, while Ornith is competitive in grounding and recall.

Announcing Gemma 4 31B, a new large language model from Google.

A claim that the Gemma-4-31B model running on Cerebras hardware outperforms ChatGPT's voice mode, demonstrated via a Hugging Face Space for real-time voice interaction.

This paper presents DistilledGemma, a system for person-place relation extraction from multilingual historical newspaper articles using a three-stage knowledge distillation pipeline from a 26B Gemma teacher to a 2.3B student, achieving competitive accuracy and efficiency in the HIPE-2026 shared task.

This benchmark compares an unquantized Gemma 2 9B model with an FP8 quantized variant on an NVIDIA L4 GPU, revealing that FP8 quantization introduces a prefill tax (higher TTFT) but improves decoding latency and VRAM usage, with minimal semantic drift for narrow tasks.

Google Devs released the latest episode of Google Developer News, highlighting three major updates: Gemini 3.5 Live Translation for real-time speech-to-speech in 70+ languages, Gemma 4 12b optimized for local AI workflows via Google AI Edge, and Gemini in Xcode for Swift/Objective-C development.

A user reports that MTP versions of Qwen 3.6 and Gemma 4 models produce lower quality outputs in code review tasks compared to non-MTP counterparts, with only marginal real-world speed improvements despite higher token generation rates.

Google Gemma团队正在赞助Kaggle上的1天黑客松活动，提供奖金支持，鼓励社区使用Gemma 4构建轻量级工具或推动AI创新。

This paper investigates an alignment vulnerability in instruction-tuned LLMs, specifically Gemma-3-12B, by showing that pre-token hidden state shifts can act as an alignment policy traversal vector, potentially enabling bypass of safety measures.

The article reports a potential alignment vulnerability in LLMs where processing a structured passage before an unrelated question can alter the model's response, with mechanistic evidence from Gemma-3-12B showing hidden-state separation.

Google AI Edge Eloquent now supports Mac as a fully local Wispr Flow alternative, offering real-time voice transcription and voice command text editing based on the latest Gemma model. Free, no subscription, and fully private locally.

The blog post describes using local open-weight models like Gemma and Qwen in an agent harness to automatically triage issues and pull requests in the OpenClaw repository, enabling real-time notifications without relying on costly closed API models.