Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models - WSJ
<a href="https://news.google.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?oc=5" target="_blank">Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models</a> <font color="#6f6f6f">WSJ</font>
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Is Turboquant really a game changer?
I am currently utilizing qwen3.5 and Gemma 4 model. Realized Gemma 4 requires 2x ram for same context length. As far as I understand, what turbo quant gives is quantizing kv cache into about 4 bit and minimize the loses But Q8 still not lose the context that much so isn't kv cache ram for qwen 3.5 q8 and Gemma 4 truboquant is the same? Is turboquant also applicable in qwen's cache architecture? because as far as I know they didn't tested it in qwen3.5 style kv cache in their paper. Just curious, I started to learn local LLM recently submitted by /u/Interesting-Print366 [link] [comments]
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Is Turboquant really a game changer?
I am currently utilizing qwen3.5 and Gemma 4 model. Realized Gemma 4 requires 2x ram for same context length. As far as I understand, what turbo quant gives is quantizing kv cache into about 4 bit and minimize the loses But Q8 still not lose the context that much so isn't kv cache ram for qwen 3.5 q8 and Gemma 4 truboquant is the same? Is turboquant also applicable in qwen's cache architecture? because as far as I know they didn't tested it in qwen3.5 style kv cache in their paper. Just curious, I started to learn local LLM recently submitted by /u/Interesting-Print366 [link] [comments]
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