โ๏ธCloud & DevOps
KVQuant: Run 70B LLMs on 8GB RAM with Real-Time KV Cache Compression
I built KVQuant because I wanted to run 70B parameter models on my gaming laptop. The problem? Even with 4-bit quantization, a 128K context window needs 256GB RAM just for the KV cache. When you run an LLM, the memory bottleneck is not the model weights - it is the KV cache. Model Weights (4-bit) KV
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10 AI-generated analytical points ยท Not copied from source
A
Aman Sachan
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Original editorial research ยท AiFeed24 Intelligence Desk
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