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authorKawrakow <iwankawrakow@gmail.com>2024-12-03 14:48:26 +0100
committerGitHub <noreply@github.com>2024-12-03 14:48:26 +0100
commitf1f4eb988fe5ee969100cd0d3782fd7460d13949 (patch)
tree97bb1a75ba7189f05e82835de6b2b65661a1ce7a /ggml/src/ggml-quants.c
parentc5bf589367cd609f4c0ff73a6534bbde7902abe8 (diff)
Q6_0_R4 (#122)
* Adding q6_0_r4 We get PP-512(LLaMA-3.1-8B) = 257 t/s on a Ryzen-7950X. * q6_0_r4: NEON We get PP-512(LLaMA-3.1-8B) = 95 t/s on M2-Max. In terms of ops, q6_0_r4 is identical to q5_0_r4 except for loading the high bits being vld1q_u8_x2 instead of vld1q_u8. It is strange that this can make a 5% difference in performance, especially considering that this is amortized (re-used) over 8 columns in the right matrix. Or am I running out of vector registers? * Fix AVX2 --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml/src/ggml-quants.c')
-rw-r--r--ggml/src/ggml-quants.c1
1 files changed, 1 insertions, 0 deletions
diff --git a/ggml/src/ggml-quants.c b/ggml/src/ggml-quants.c
index 1953fb7e..94950a36 100644
--- a/ggml/src/ggml-quants.c
+++ b/ggml/src/ggml-quants.c
@@ -15199,6 +15199,7 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte
case GGML_TYPE_IQ4_NL_X4: break;
case GGML_TYPE_Q4_0_R4: break;
case GGML_TYPE_Q5_0_R4: break;
+ case GGML_TYPE_Q6_0_R4: break;
case GGML_TYPE_Q8_0_R4: break;
case GGML_TYPE_Q4_0_4_4:
case GGML_TYPE_Q4_0_4_8: