1/ You can shrink a language model's KV cache by 200×, in a single forward pass, and it still answers correctly. At 256k context that's 36 GiB of cache down to ~360 MiB, with no change to the base model. Here's how we did it 👇
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1/ You can shrink a language model's KV cache by 200×, in a single forward pass, and it still answers correctly. At 256k context that's 36 GiB of cache down to ~360 MiB, with no change to the base model. Here's how we did it 👇
