very cool! uses llama-server from @ggerganov @huggingface under the hood? cc @julien_c @XciD_
OPEN SOURCE
-

Local AI’s Rise: Free, Faster, Safer Alternative
By
–
Local is the future of AI because it’s free, safer & faster. It’s also the best way to mitigate current and future compute shortages and distribute control & power! Local AI is having its moment and we’re here for it! The blogpost with all the weights and best ways to use is
-

Google DeepMind Launches Gemma 4 Large Language Model
By
–
Let's go https://
huggingface.co/blog/gemma4! -
Google Releases Gemma 4 Open Foundation Models with Advanced Reasoning
By
–
Today we're releasing Gemma 4, our new family of open foundation models, built on the same research and technology as our Gemini 3 series. These models set a new standard for open intelligence, offering SOTA reasoning capabilities from edge-scale (2B and 4B w/ vision/audio) up to a 26B parameter MoE model and a 31B dense model. By releasing Gemma 4 under the Apache 2.0 license, we hope to enable more innovation across the research and developer communities. Our earlier Gemma 3 models were downloaded 400M times and over 100,000 variants of those models have been published, so we're excited to see what the community will do with the even better Gemma 4 models! Learn more at blog.google/innovation-and-a… and goo.gle/gemma-4-apache-2 Great work by everyone involved! #Gemma4 #AI #OpenSource #ML
-

Installing and Running Llama.cpp with Gemma Model
By
–
Just do this: brew install llama.cpp –HEAD Then; llama-server -hf ggml-org/gemma-4-26B-A4B-it-GGUF:Q4_K_M
-

Google Releases Gemma 4 in Four Variants
By
–

BREAKING : Google released Gemma 4 in 4 different variants: 31B, 26B MoE, 2B and 4B! Offline on-device AI apps got a huge upgrade!
-
Google Releases Gemma 4 Open-Source Models with Impressive Performance
By
–
Here we go: Gamma 4 released: ""Outperforms models 20x its size" Google dropped Gemma 4 under Apache 2.0, full open-source, big licensing shift. Built on Gemini 3 tech, four sizes: E2B, E4B, 26B MoE, 31B Dense. Price-performance: 31B is #3 open model on Arena AI, 26B MoE is #6
-

Developer’s Guide to Building AI Agents with Google Gemma 4
By
–
Developer's guide to build AI Agents using Google Gemma 4 and Agent Development kit. adk.dev/agents/models/google…
→ View original post on X — @saboo_shubham_, 2026-04-02 16:27 UTC
-

Google Gemma 4: Most Capable Open Agentic Model Released
By
–
Introducing Google Gemma 4, our most capable open agentic model. It supports high-quality offline code generation with long context and is trained on over 140 languages. Open-source Apache 2.0 licence.
→ View original post on X — @saboo_shubham_, 2026-04-02 16:24 UTC
