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| author | Kawrakow <iwankawrakow@gmail.com> | 2025-02-05 13:49:39 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2025-02-05 13:49:39 +0200 |
| commit | 8b7536bda8b65107794c4df710f14ddfde430160 (patch) | |
| tree | 97a9dea70458bddcef51c734e22026ac51b51ed7 /examples/server | |
| parent | ecf111a11ca56ff0731308f94bd6c5e96658b6ef (diff) | |
IQ1_S_R4: better 1.5 bpw quants (#185)
* iq1_s_r4: basics - quantize/dequantize
* iq1_s_r4: gemm/gemv works on AVX2/Zen4
* Don't forget to make sure we have a multiple of 4 rows per thread
* iq1_s_r4: this is better
* iq1_s_r4: fix Zen4 after AVX2 changes
* iq1_s_r4: NEON gemm/gemv
* iq1_s_r4: more bits for shared experts
With this mix we arrive at PPL(512) = 9.4140
for Deepseek-Lite using 1.766 bpw for the repeating layers.
On the Ryzen-7950X we get PP-512 = 494 t/s and
TG-128 = 52 t/s @ 16 threads.
* Forgotten counter increment
* iq1_s_r4: slightly faster AVX2/Zen4 gemm/gemv
* Compiler warnings
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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