Adding IQ3_KS quants (#566)

* iq3_ks: basics

* iq3_ks: CUDA dequantize

* iq3_ks: CUDA mmvq

* iq3_ks: mmq

* iq3_ks: faster mmq

* iq3_ks: Zen4

* iq3_ks: AVX2 convert to q8_k_r8

This gives usPP-512 = 360 t/s.

* iq3_ks: AVX2 GEMM/GEMV

* iq3_ks: NEON GEMM/GEMV

* iq3_ks: NEON convert to q8_k_r8

This gives us PP-512 = 164 t/s.

* iq3_ks: Metal dequantize

* iq3_ks: Metal gemv - pathetic performance

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
This commit is contained in:
Kawrakow
2025-07-02 09:27:47 +02:00
committed by GitHub
parent 6215d9315c
commit adc28f8852
22 changed files with 1040 additions and 65 deletions

View File

@@ -76,6 +76,7 @@ static const std::vector<struct quant_option> QUANT_OPTIONS = {
{ "IQ2_K_R4", LLAMA_FTYPE_MOSTLY_IQ2_K_R4, "IQ2_K repacked",},
{ "IQ2_KS", LLAMA_FTYPE_MOSTLY_IQ2_KS, " 2.1875 bpw non-linear quantization",},
{ "IQ2_KT", LLAMA_FTYPE_MOSTLY_IQ2_KT, " 2.125 bpw trellis quantization", },
{ "IQ3_KS", LLAMA_FTYPE_MOSTLY_IQ3_KS, " 3.19 bpw non-linear quantization", },
{ "IQ3_K", LLAMA_FTYPE_MOSTLY_IQ3_K, " 3.44 bpw non-linear quantization", },
{ "IQ3_K_R4", LLAMA_FTYPE_MOSTLY_IQ3_K_R4, "IQ3_K repacked", },
{ "IQ3_KL", LLAMA_FTYPE_MOSTLY_IQ3_KL, " 4 bpw non-linear quantization mix",},