Multiple teams announce Gemma 4 as a major open model release and emphasize that its success depends on broad ecosystem integrations like vLLM and llama.cpp, plus easy fine tuning paths like free Colab workflows.
Introducing a Visual Guide to Gemma 4 👀
Gemma 4, bringing our most intelligent open models
Gemma 4 E4B (4-bit) completed a full repo audit
Runs on just 6GB RAM.
Gemma-4 = Reasoning + tool calling + multi-modal!
Gemma 4: The world's best small Multimodal Open Models, dramatically better than Gemma 3 in every way
Gemma 4 is now live on Poe.
Huge news today: we're launching #Gemma4! Our most capable open models yet.
People underestimate the level of collaboration that needs to happen for a model such as Gemma 4 to land
Before the launch, we worked with HF, VLLM, llama.cpp, Ollama, NVIDIA, Unsloth, Cactus, SGLang, Docker, CloudFlare, and so many others
🎉 Gemma 4 is officially available on vLLM!
You can now fine-tune Gemma 4 (and 500 other open source models) in a free Google Colab
we worked with HF, VLLM, llama.cpp, Ollama, NVIDIA, Unsloth, Cactus, SGLang, Docker, CloudFlare
This ecosystem is amazing
Quality of life updates to @GoogleAIStudio we just shipped (using Gemini):
You can now turn a playground chat into an app in 2 clicks
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