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| author | Kawrakow <iwankawrakow@gmail.com> | 2025-02-06 18:45:28 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2025-02-06 18:45:28 +0200 |
| commit | a08501ee5216402458d3d3e9b9af5763705eaffe (patch) | |
| tree | 06db79c9c3e5bdf15180071d2e4d4abc7d3a8c85 /examples | |
| parent | 7f61b3068e18728e5e7e2b95546ff03dd2fd41ac (diff) | |
Rename q4_0_r4, q8_0_r4 and iq4_xs_r4 to _r8 (#189)
* Rename q4_0_r4 to q4_0_r8 to reflect actual row interleaving
* Rename q8_0_r4 to q8_0_r8 to reflect actual row interleaving
* Rename iq4_xs_r4 to iq4_xs_r8 to reflect actual row interleaving
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/quantize/quantize.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/examples/quantize/quantize.cpp b/examples/quantize/quantize.cpp index 7bdd8597..7ceee208 100644 --- a/examples/quantize/quantize.cpp +++ b/examples/quantize/quantize.cpp @@ -51,11 +51,11 @@ 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_R4",LLAMA_FTYPE_MOSTLY_IQ4_NL_R4," 4.50 bpw non-linear quantization", }, - { "IQ4_XS_R4",LLAMA_FTYPE_MOSTLY_IQ4_XS_R4," 4.25 bpw non-linear quantization", }, - { "Q4_0_R4", LLAMA_FTYPE_MOSTLY_Q4_0_R4, " 4.50 bpw quantization", }, + { "IQ4_XS_R8",LLAMA_FTYPE_MOSTLY_IQ4_XS_R8," 4.25 bpw non-linear quantization", }, + { "Q4_0_R8", LLAMA_FTYPE_MOSTLY_Q4_0_R8, " 4.50 bpw quantization", }, { "Q5_0_R4", LLAMA_FTYPE_MOSTLY_Q5_0_R4, " 5.50 bpw quantization", }, { "Q6_0_R4", LLAMA_FTYPE_MOSTLY_Q6_0_R4, " 6.50 bpw quantization", }, - { "Q8_0_R4", LLAMA_FTYPE_MOSTLY_Q8_0_R4, " 8.50 bpw quantization", }, + { "Q8_0_R8", LLAMA_FTYPE_MOSTLY_Q8_0_R8, " 8.50 bpw 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_KS_R4",LLAMA_FTYPE_MOSTLY_IQ4_KS_R4,"IQ4_KS repacked", }, |