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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.

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Unsloth AI

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149,137 görüntüleme • 2 ay önce •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:
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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:

Unsloth AI

101,740 görüntüleme • 2 ay önce

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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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.

Maziyar PANAHI

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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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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.

Unsloth AI

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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.
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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.

0xMarioNawfal

44,387 görüntüleme • 6 gün önce

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 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.

Jilles Soeters

66,165 görüntüleme • 2 ay önce

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

Chubby♨️

38,995 görüntüleme • 1 yıl önce

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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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.

Unsloth AI

113,048 görüntüleme • 2 ay önce

Liquid's LFM2.5-8B-A1B smashed OpenAI's gpt-oss-20b on tool calling We ran both locally on a MacBook Pro M5 Max, 64GB, and gave each the same trip-planning request that only completes if the model fires all 7 tool calls - weather for 3 cities, two currency conversions, an email and a reminder Outputs: LFM2.5-8B-A1B: 4.8 GB RAM usage, 7/7 tool-calls, 266 tok/s, 6.9s OpenAI gpt-oss-20b: 11 GB RAM usage, 3/7 tool-calls, 146 tok/s, 15.0s The 8B used less than half the RAM and still fired all 7 calls, while the 20B silently dropped more than half of its own. It also ran ~2x faster, wrapping the full agentic request in 6.9s against 15s. That's what 38T training tokens buy: a 1B-active MoE that nails the agentic tool calls a model 2.5x its active size keeps dropping
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Liquid's LFM2.5-8B-A1B smashed OpenAI's gpt-oss-20b on tool calling We ran both locally on a MacBook Pro M5 Max, 64GB, and gave each the same trip-planning request that only completes if the model fires all 7 tool calls - weather for 3 cities, two currency conversions, an email and a reminder Outputs: LFM2.5-8B-A1B: 4.8 GB RAM usage, 7/7 tool-calls, 266 tok/s, 6.9s OpenAI gpt-oss-20b: 11 GB RAM usage, 3/7 tool-calls, 146 tok/s, 15.0s The 8B used less than half the RAM and still fired all 7 calls, while the 20B silently dropped more than half of its own. It also ran ~2x faster, wrapping the full agentic request in 6.9s against 15s. That's what 38T training tokens buy: a 1B-active MoE that nails the agentic tool calls a model 2.5x its active size keeps dropping

atomic.chat

88,452 görüntüleme • 10 gün önce

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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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.

Maziyar PANAHI

196,846 görüntüleme • 2 ay önce

Gemma 4 analyzes the video. Generates key questions. Calls Falcon Perception. "Find all the people." 156 found. "Detect only white cars." 8 found. A 26B model is running agentic multi-QA vision orchestration. The models are running locally on a MacBook with MLX. No API.
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Gemma 4 analyzes the video. Generates key questions. Calls Falcon Perception. "Find all the people." 156 found. "Detect only white cars." 8 found. A 26B model is running agentic multi-QA vision orchestration. The models are running locally on a MacBook with MLX. No API.

Maziyar PANAHI

158,537 görüntüleme • 1 ay önce

SMRITI MANDHANA MISSED THE HUNDRED BY JUST 4 RUNS. 💔
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SMRITI MANDHANA MISSED THE HUNDRED BY JUST 4 RUNS. 💔

Johns.

237,149 görüntüleme • 4 ay önce

Meet Gemma 3n, a model that runs on as little as 2GB of RAM 🤯 It shares the same architecture as Gemini Nano, and is engineered for incredible performance. We added audio understanding, so now it’s multimodal, fast and lean, and runs on-device (no cloud connection required!)
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Meet Gemma 3n, a model that runs on as little as 2GB of RAM 🤯 It shares the same architecture as Gemini Nano, and is engineered for incredible performance. We added audio understanding, so now it’s multimodal, fast and lean, and runs on-device (no cloud connection required!)

Google AI

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WE COMPLETED 4 HOURS ON AEW
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WE COMPLETED 4 HOURS ON AEW

Ace Humphreys 🏴󠁧󠁢󠁷󠁬󠁳󠁿🦢

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🛡 Vital Block 🛡️ Security Has Completed The Smart Contract Security Audit For #TOKENSALE 🛡 All High Vulnerabilities Detected had been Full Fixed See Full Audit Report Below ⤵️ 📝 Review Full Audit Report On VBS- GITHUB GitHub: 📝 Review Full Audit Report On VBS- GITLAB 🦊 GitLab: ⚖️ Always "DYOR" 🛡 #Smartcontracts #Audit #Tokensale #security #BlockchainSecurity #ETH
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🛡 Vital Block 🛡️ Security Has Completed The Smart Contract Security Audit For #TOKENSALE 🛡 All High Vulnerabilities Detected had been Full Fixed See Full Audit Report Below ⤵️ 📝 Review Full Audit Report On VBS- GITHUB GitHub: 📝 Review Full Audit Report On VBS- GITLAB 🦊 GitLab: ⚖️ Always "DYOR" 🛡 #Smartcontracts #Audit #Tokensale #security #BlockchainSecurity #ETH

Vital Block 🛡️ Security

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Tried Gemma 4 ran locally on my iPhone today I thought it'd be useful in case the apocalypse happens and I need to ask it for survival tips Like how to make a fire 🔥 I guess I'll freeze to death instead 🫠
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Tried Gemma 4 ran locally on my iPhone today I thought it'd be useful in case the apocalypse happens and I need to ask it for survival tips Like how to make a fire 🔥 I guess I'll freeze to death instead 🫠

@levelsio

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Gemma 4 sees a kid and three dogs. Decides what matters. Calls SAM 3.1 Mask and bounding box. Spotlight on subjects. Background blur. Background pixelation. Four effects. Fully agentic. Two models talking to each other on a MacBook. No App. No cloud. What would you edit?
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Gemma 4 sees a kid and three dogs. Decides what matters. Calls SAM 3.1 Mask and bounding box. Spotlight on subjects. Background blur. Background pixelation. Four effects. Fully agentic. Two models talking to each other on a MacBook. No App. No cloud. What would you edit?

Maziyar PANAHI

30,457 görüntüleme • 1 ay önce

Someone just built a desktop app that that generates 3D models from images and runs 100% locally. It's called Modly. It runs entirely on your GPU, no cloud, no API bills. Just drop an image and get a 3D mesh. 100% Open Source.
0:11

Someone just built a desktop app that that generates 3D models from images and runs 100% locally. It's called Modly. It runs entirely on your GPU, no cloud, no API bills. Just drop an image and get a 3D mesh. 100% Open Source.

How To AI

222,020 görüntüleme • 1 ay önce

Marcus Semien is simmering. He's 4-for-5 with 3 RBI and 4 runs on the day.
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Marcus Semien is simmering. He's 4-for-5 with 3 RBI and 4 runs on the day.

MLB

405,933 görüntüleme • 3 yıl önce

Google’s Gemma 4 E2B running on-device on iPhone 17 Pro Gemma 4 is built from the same research as Gemini 3, has image understanding capabilities and can reason if needed Running at ~40tk/s with MLX optimized for Apple Silicon
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Google’s Gemma 4 E2B running on-device on iPhone 17 Pro Gemma 4 is built from the same research as Gemini 3, has image understanding capabilities and can reason if needed Running at ~40tk/s with MLX optimized for Apple Silicon

Adrien Grondin

1,043,120 görüntüleme • 2 ay önce

Mission impossible completed in 4 hours by bloody civilians. #Battagram
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Mission impossible completed in 4 hours by bloody civilians. #Battagram

.

286,729 görüntüleme • 2 yıl önce