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cce49832c1
* Adding q6_0 - basics + AVX2/Zen4 working * Adding q6_0: CUDA dequantize works, but not mmvq * Adding q6_0: CUDA mmvq works * Adding q6_0: CUDA cpy, so Q6_0 can be used for KV-cache * Add q6_0 to CPU flash attention Disappointing result: for LlaMA-3.2-1B, q6_0 K- and V-cache gives about the same PPL as q8_0 K-cache and q4_0 V-cache, while needing the exact same RAM. I.e., what was the point? * q6_0: slightly better kv-cache result Better than q8_0+q4_0, but not as good as q8_0+iq4_nl * q6_0: works on ARM_NEON * q6_0: dequantize works on Metal, but not vector dot product * q6_0: it now works on Metal Outperforms q5_0 by a significant margin. E.g. | model | size | params | backend | ngl | threads | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | --: | ------: | ------------: | ---------------: | | llama 8B Q6_0 | 6.08 GiB | 8.03 B | Metal | 100 | 4 | tg128 | 44.02 ± 0.08 | | llama 8B Q5_0 | 5.21 GiB | 8.03 B | Metal | 100 | 4 | tg128 | 40.13 ± 0.12 | | llama 8B Q6_0 | 6.08 GiB | 8.03 B | Metal | 100 | 4 | pp512 | 500.55 ± 0.32 | | llama 8B Q5_0 | 5.21 GiB | 8.03 B | Metal | 100 | 4 | pp512 | 448.02 ± 0.27 | * q6_0: can now be used for kv-cache on Metal --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>