* Adding q6_k_r4

* q6_k_r4: 1st functional AVX2 version

* q6_k_r4: AVX2 and simple Zen4

"Simple" as in processing 4 instead of 8 rows at once.
On Zen4 we get PP-512(LLaMA-3.1-8B) = 238.3 t/s vs
195.2 t/s for Q6_K. TG-128 @ 1 thread is 7.94 t/s
vs 5.38 t/s for Q6_K.

* q6_k_r4: 1st NEON version

PP-512(LLaMA-3.1-8B) = 78 t/s vs 57.6 t/s for q6_K.
TG-128 is slightly lower rthan q6_K for low number of threads,
becomes very slightly better at 8 threads.

* q6_k_r4: slightly faster NEON

PP-512(LLaMA-3.1-8B) = 83.25 t/s

* q6_k_r4: slightly faster Zen4

238.3 t/s -> 243.2 t/s

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
This commit is contained in:
Kawrakow
2024-12-10 12:26:40 +01:00
committed by GitHub
parent 13126ce100
commit b7e2f656f5
10 changed files with 381 additions and 2 deletions

View File

@@ -413,6 +413,7 @@ extern "C" {
GGML_TYPE_Q5_0_R4 = 206,
GGML_TYPE_Q8_0_R4 = 208,
GGML_TYPE_Q4_K_R4 = 212,
GGML_TYPE_Q6_K_R4 = 214,
GGML_TYPE_IQ4_NL_R4 = 220,
GGML_TYPE_IQ4_XS_R4 = 223,
GGML_TYPE_Q6_0_R4 = 233,
@@ -480,6 +481,7 @@ extern "C" {
GGML_FTYPE_MOSTLY_Q8_0_R4 = 207, // except 1d tensors
GGML_FTYPE_MOSTLY_Q5_0_R4 = 208, // except 1d tensors
GGML_FTYPE_MOSTLY_Q4_K_R4 = 212, // except 1d tensors
GGML_FTYPE_MOSTLY_Q6_K_R4 = 214, // except 1d tensors
GGML_FTYPE_MOSTLY_IQ4_NL_R4 = 219, // except 1d tensors
GGML_FTYPE_MOSTLY_IQ4_XS_R4 = 222, // except 1d tensors
GGML_FTYPE_MOSTLY_Q6_0_R4 = 227, // except 1d tensors