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Gemma 4 E4B (4-bit) completed a full repo audit by executing Bash code and tool calls locally. Runs on just 6GB RAM.

Unsloth AI

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149,137 次观看 • 2 个月前 •via X (Twitter)

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Gemma 4 E4B was able to search and cite 10+ websites, execute code to find the best answer! 🔥 You only need 6GB RAM to try this in Unsloth Studio. GitHub repo:

Gemma 4 E4B was able to search and cite 10+ websites, execute code to find the best answer! 🔥 You only need 6GB RAM to try this in Unsloth Studio. GitHub repo:

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Gemma 4 looks at a parking lot. Decides what to ask. Calls SAM 3.1. "Segment all vehicles." 64 found. "Now just the white ones." 23 found. One model reasoning and orchestrating. One model executing. Both running locally on a MacBook. MLX. No cloud. No API.

Gemma 4 looks at a parking lot. Decides what to ask. Calls SAM 3.1. "Segment all vehicles." 64 found. "Now just the white ones." 23 found. One model reasoning and orchestrating. One model executing. Both running locally on a MacBook. MLX. No cloud. No API.

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Qwen3.5-4B searched 20+ websites, cited its sources, and found the best answer! 🔥 Try this locally with just 4GB RAM via Unsloth Studio. The 4B model did this by executing tool calls + web search directly during its thinking trace.

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GOOGLE'S GEMMA 4 12B RUNS AT 21 TOKENS PER SECOND ON A BUDGET RTX 4060 LOCALLY AND THE BENCHMARKS SHOULD NOT BE THIS GOOD FOR A 6.6GB FILE. 77.5% on MATH Olympiad, 78.8% on expert science, 72% on real code. No API. No cloud. No subscription.

GOOGLE'S GEMMA 4 12B RUNS AT 21 TOKENS PER SECOND ON A BUDGET RTX 4060 LOCALLY AND THE BENCHMARKS SHOULD NOT BE THIS GOOD FOR A 6.6GB FILE. 77.5% on MATH Olympiad, 78.8% on expert science, 72% on real code. No API. No cloud. No subscription.

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Gemma 4 is now on Cloudflare Workers AI. Vision, tool calling, reasoning and a 256k context window… Here’s a simple TanStack + Workers AI compliments app. 4 compliments because it’s Gemma 4.

Gemma 4 is now on Cloudflare Workers AI. Vision, tool calling, reasoning and a 256k context window… Here’s a simple TanStack + Workers AI compliments app. 4 compliments because it’s Gemma 4.

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Gemma 3n can run locally on 2gb ram devices. Let that sink in. Holy moly, and its multimodal.

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Unsloth Studio now installs in just one line of code! 💚 Available on macOS, Windows and Linux. You can also run @NVIDIA's new model Nemotron 3 4B locally on just 4GB RAM.

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Gemma 4 just dropped. I had it captioning video in real-time within an hour. Running locally on a MacBook. No cloud. No API. Real-time scene understanding. Oh and SAM3 is segmenting every object in the same frame. Same laptop.

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Maziyar PANAHI

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WE COMPLETED 4 HOURS ON AEW

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