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| author | Kawrakow <iwankawrakow@gmail.com> | 2024-12-03 12:59:22 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-12-03 12:59:22 +0100 |
| commit | c5bf589367cd609f4c0ff73a6534bbde7902abe8 (patch) | |
| tree | fa17f82c717d535222c1843fc9fca2d66f4d6ea7 /ggml/src/ggml-quants.c | |
| parent | ccec00939a30aa7762a232ac4dcadba985ef9ee4 (diff) | |
Q5_0_R4 (#121)
* Adding q5_0_r4
We get PP-512(LLaMA-3.1-8B) = 256.7 t/s on a Ryzen-7950X.
We even get TG-128 improvement to 11.7 t/s from 11.1 t/s.
* q5_0_r4: NEON
We get PP-512(LLaMA-3.1-8B) = 99.6 t/s on M2-Max,
up from 71.0 t/s for Q5_0. The difference to mainline llama.cpp
is no longer funny: they get 26.5 t/s for Q5_0.
For TG, we are nor able to fully saturate memory bandwidth
and arrive at 22.1 t/s @ 8 threads. Mainline llama.cpp gets
20.6 t/s for Q5_0.
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml/src/ggml-quants.c')
| -rw-r--r-- | ggml/src/ggml-quants.c | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/ggml/src/ggml-quants.c b/ggml/src/ggml-quants.c index 3140fc19..1953fb7e 100644 --- a/ggml/src/ggml-quants.c +++ b/ggml/src/ggml-quants.c @@ -15198,6 +15198,7 @@ bool ggml_validate_row_data(enum ggml_type type, const void * data, size_t nbyte case GGML_TYPE_IQ4_KSS: break; case GGML_TYPE_IQ4_NL_X4: break; case GGML_TYPE_Q4_0_R4: break; + case GGML_TYPE_Q5_0_R4: break; case GGML_TYPE_Q8_0_R4: break; case GGML_TYPE_Q4_0_4_4: case GGML_TYPE_Q4_0_4_8: |