Google Gemma 4 12B
Run multimodal AI locally with an encoder-free architecture
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Gemma 4 12B processes text, vision, and audio natively without separate encoders, running on 16GB VRAM. For developers building local agentic applications who need multimodal capability without cloud dependency.
PH · launched Jun 4, 2026 · 309 upvotes (top 36%) · 0 views
Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Commercial product
- Open Source
- Developer Tools
- GitHub
Visit website ↗ Source listing ↗
More like this: all 191 launches in large language models →
Could you build this?
No Training a 12-billion-parameter foundation model natively across text, vision, and audio without separate encoders requires frontier ML research and millions of dollars in compute.
What it would actually take: Creating this model demands custom deep learning architectures implemented in JAX/PyTorch, massive multimodal tokenized datasets, specialized compute clusters with thousands of TPUs/GPUs, and advanced training stability techniques to unify audio, image, and text representations into a single decoder.
Competitors
Other products that read as similar to this one : 188 launches clear the similarity bar, closest 8 shown.
Attention rank: #71 of 189 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 208 days after the earliest competitor.
- I made a Gemma 4 Mac app that names screenshots with local AI · hn · 2026-05-31 · 7 upvotes · similarity 0.56
- Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac · hn · 2026-07-29 · 919 upvotes · similarity 0.54
- Tom · ph · 2026-09-18 · 1 upvotes · similarity 0.53
- Gemma 4 Multimodal Fine-Tuner for Apple Silicon · hn · 2026-04-07 · 235 upvotes · similarity 0.49
- SuperLocalMemory · ph · 2026-10-15 · 84 upvotes · similarity 0.47
- Running Gemma-4 26B at 124 tokens/SEC on a CPU, no GPU · hn · 2026-06-30 · 10 upvotes · similarity 0.46
- I benchmarked Gemma 4 E2B · hn · 2026-04-13 · 8 upvotes · similarity 0.45
- My Name is Riemann Prerelease · ph · 2026-11-04 · 2 upvotes · similarity 0.45
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