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authorKawrakow <iwankawrakow@gmail.com>2024-12-02 17:01:48 +0100
committerGitHub <noreply@github.com>2024-12-02 17:01:48 +0100
commit239a344f9935cb614c6208000edb0815214286a1 (patch)
treeaaa1933857cd9575fecfec14515e43e24305ce1f /examples/quantize/quantize.cpp
parent6d0462d4a39085a9f9da04e0a5fc7cc9d4578818 (diff)
Q4_0_R4 (#119)
* Adding iq4_0_r4 - q4_0 repacked We get PP-512(LLaMA-3.1-8B) = 278 t/s on a Ryzen-7950X CPU, so ~5-6% faster than iq4_nl_x4. * q4_0_r4: NEON Here we get 115.8 t/s, so also ~5% better than iq4_nl_x4. --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'examples/quantize/quantize.cpp')
-rw-r--r--examples/quantize/quantize.cpp1
1 files changed, 1 insertions, 0 deletions
diff --git a/examples/quantize/quantize.cpp b/examples/quantize/quantize.cpp
index 333fae36..9e0dc3cf 100644
--- a/examples/quantize/quantize.cpp
+++ b/examples/quantize/quantize.cpp
@@ -41,6 +41,7 @@ static const std::vector<struct quant_option> QUANT_OPTIONS = {
{ "Q3_K_L", LLAMA_FTYPE_MOSTLY_Q3_K_L, " 3.35G, +0.1764 ppl @ LLaMA-v1-7B", },
{ "IQ4_NL", LLAMA_FTYPE_MOSTLY_IQ4_NL, " 4.50 bpw non-linear quantization", },
{ "IQ4_NL_X4",LLAMA_FTYPE_MOSTLY_IQ4_NL_X4," 4.50 bpw non-linear quantization", },
+ { "Q4_0_R4", LLAMA_FTYPE_MOSTLY_Q4_0_R4, " 4.50 bpw non-linear quantization", },
{ "IQ4_XS", LLAMA_FTYPE_MOSTLY_IQ4_XS, " 4.25 bpw non-linear quantization", },
{ "IQ4_KS", LLAMA_FTYPE_MOSTLY_IQ4_KS, " 4.25 bpw non-linear quantization", },
{ "IQ4_KSS", LLAMA_FTYPE_MOSTLY_IQ4_KSS, " 4.0 bpw non-linear quantization", },