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recent
p/opencutai-video
by
Abhishek Sira Chandrashekar
•
1mo ago
OpenCut AI now runs 7B models on 8GB RAM -- TurboQuant KV cache compression is live
... That compress the KV cache (the biggest memory bottleneck during AI inference) by up to 6x with mathematically proven quality preservation. In plain terms: your AI models now use a fraction of the memory without getting dumber. Before
vs
After On a 16 GB machine: - Before : Llama 3.2 1B + Whisper Base + TTS = barely fits, mediocre quality - After : Llama 3.1 8B + Whisper Medium + TTS = runs comfortably, dramatically better output On an 8 GB machine: - Before : Could only run the 1B model ... ... best configuration: - Performance Tier : Lite (4-8 GB), Standard (8-16 GB), or Pro (16-32 GB). Each tier is tagged with "Best for your hardware" based on your actual RAM. - KV Cache Compression : Pick 4-bit (near-
lossless
2
6
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