Top Tweets for #Turboquant
#TurboQuant's rotation trick got absorbed by standard quants. Now #KVarN shifts the #LongContextLLM quality-per-memory curve by a full tier, real benchmarks vs hype
https://t.co/xyL3fj8HVF
🧠 #TurboVec è un indice vettoriale open source costruito sull'algoritmo #TurboQuant sviluppato da #Google Research.
👉 I dettagli: https://t.co/rqTnn0TaXW
#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM
8/8 Read the complete guide:
https://t.co/Jl5ttHWrio
Includes:
- Step-by-step deployment
- Performance benchmarks
- Compliance checklist
- Hardware selection guide
#SovereignAI #LocalLLM #TurboQuant #EUAIAct #LocalFirst
Verkor Unveils VerTQ TurboQuant Accelerator for Edge AI Inference
#HPC #TurboQuant
https://t.co/2iYZT28NaR
#TurboQuant could make AI search faster, cheaper, and more entity-driven.
That means instant indexing, sharper intent matching, and a bigger premium on brand trust.
What SEOs need to watch: https://t.co/SvDWL4F8Bc
賢さを殺さずにモデルを軽くする魔法🪄✨
TurboQuantの3bit量子化なら、校正データ不要で20Bモデルを約10GBに圧縮！RTX 3060/4070や16GB Macでも快適動作します。仕組み・メリット・注意点までLLM初心者向けに解説👇
https://t.co/CxERe3hxdz
#ローカルAI #TurboQuant #量子化 #MacMシリーズ #AI入門
Running EAGLE3 + GEMMA 4 31B on NVIDIA Spark and Thor.
Speculative decoding makes it faster -- EAGLE3 rocks.
104k tokens in KV-cache (only) -- need TurboQuant.
6-8 token/second
#LocalAI #GEMMA #TurboQuant
面白い😋。
#TurboQuant #LLM #生成AI #メモリー #Google
⏩️⏩️⏩️メモリー業界揺るがすGoogleの新技術「TurboQuant」、簡素な仕組みが強みに https://t.co/Dc89LDV8Se
--
ブログ【IFTTTの先へ】 https://t.co/RWoWH1WVY8
Built on @TheTom's TurboQuant CUDA fork + @yukangchen_ & @WeianMao's https://t.co/sE8nUHSr9G source patch dropping soon. 👀#llama.cpp #LocalAI #TriAttention #TurboQuant
Is AI efficiency a threat to compute demand? Google’s #TurboQuant says we need 6x less memory. 📉🤖
History says the opposite: Jevons Paradox. > When tech gets efficient, demand doesn't drop—it goes vertical. By making AI "lighter," the world just unlocked 100x more use cases.
$MERIT is building the @Base infrastructure to handle that surge. We don't fear efficiency; we fuel it. 🛡️💻
The era of mass-adoption starts now. 🎖️🚀 #AI #JevonsParadox #BuildOnBase #MERIT #CryptoNews
I guess @AnthropicAI is not the only one limiting its users, Even @Google is drowning in the same boat.
>#Antigravity has wasted my 7 hours now.
> Is this an appropriate reason to give your Pro plan users?
>What happened to your #turboquant ?
Tried reading Google's #TurboQuant blog but it assumes a lot of background. So I built up the context from scratch and wrote down what I learned along the way. Hope this helps anyone else who found the blog hard to follow without the prerequisites.
https://t.co/kFWiejocvc
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: https://t.co/CDSQ8HpZoc
I just published my first technical deep-dive: adapting @Google 's #TurboQuant for weight quantization on @Apple Silicon using MLX.
The headline result on Qwen 2.5-7B:
• Standard 2-bit quantization: perplexity 2199 (garbage)
• TurboQuant 2-bit + QJL: perplexity 15.93 (usable)
• Zero training data required
How it works:
1. Randomized Hadamard rotation makes weights Gaussian
2. Lloyd-Max codebook (optimal since 1960) replaces uniform quantization
3. 1-bit sign correction cleans up the residual — 43-45% MSE reduction
At 4-bit + QJL, we're within 4% of FP16 quality. The advantage grows with model scale — bigger models = wider layers = better Gaussian approximation.
Published in @AIAdvances on @Medium : https://t.co/1uy7DettRW
Also preparing an @arxiv preprint for cs.LG — if you can endorse, DMs are open.
RAM PRICES PLUNGE in China!
Following Google’s TurboQuant announcement, DDR5 costs are dropping rapidly as sellers clear stock.
#TurboQuant #DDR5 #PCMasterRace #TechNews
@petersteele @ChujieZheng RTX 5080 16GB user? With TurboQuant on RX 9070 16GB, I'm running Qwen3.5-27B (Q4) at 64K context @ 5.18 t/s.
Radeon can do it, GeForce can't 😂
Windows + LM Studio, just drop https://t.co/rY8blNtkuu:
https://t.co/53BvnyNwQQ
#LocalLLM #TurboQuant
Google新AI「TurboQuant」開発！
大規模言語モデル推論のメモリ使用を6倍以上削減。
Micron株は一時下落も長期需要中立、Appleが消費者デバイスで意外な勝者か。
DeepSeek似の効率化。
https://t.co/0hOlpOz950
#GoogleAI #TurboQuant #AI開発 #株価影響 #Apple
Με τις νέες μεθόδους PolarQuant και QJL, η Google υπόσχεται ταχύτερη απόκριση, λιγότερα «hallucinations» και λύση στη διεθνή έλλειψη μνήμης RAM μέχρι το τέλος της δεκαετίας. #TurboQuant #RAMShortage #RAMageddon
https://t.co/cal16mnN6w
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