diff --git a/examples/quantize/quantize.cpp b/examples/quantize/quantize.cpp index 797d2f0c5..744f549c5 100644 --- a/examples/quantize/quantize.cpp +++ b/examples/quantize/quantize.cpp @@ -14,103 +14,27 @@ struct quant_option { }; static const std::vector QUANT_OPTIONS = { - { - "Q4_0", - LLAMA_FTYPE_MOSTLY_Q4_0, - " 3.50G, +0.2499 ppl @ 7B - small, very high quality loss - legacy, prefer using Q3_K_M", - }, - { - "Q4_1", - LLAMA_FTYPE_MOSTLY_Q4_1, - " 3.90G, +0.1846 ppl @ 7B - small, substantial quality loss - legacy, prefer using Q3_K_L", - }, - { - "Q5_0", - LLAMA_FTYPE_MOSTLY_Q5_0, - " 4.30G, +0.0796 ppl @ 7B - medium, balanced quality - legacy, prefer using Q4_K_M", - }, - { - "Q5_1", - LLAMA_FTYPE_MOSTLY_Q5_1, - " 4.70G, +0.0415 ppl @ 7B - medium, low quality loss - legacy, prefer using Q5_K_M", - }, + { "Q4_0", LLAMA_FTYPE_MOSTLY_Q4_0, " 3.50G, +0.2499 ppl @ 7B", }, + { "Q4_1", LLAMA_FTYPE_MOSTLY_Q4_1, " 3.90G, +0.1846 ppl @ 7B", }, + { "Q5_0", LLAMA_FTYPE_MOSTLY_Q5_0, " 4.30G, +0.0796 ppl @ 7B", }, + { "Q5_1", LLAMA_FTYPE_MOSTLY_Q5_1, " 4.70G, +0.0415 ppl @ 7B", }, #ifdef GGML_USE_K_QUANTS - { - "Q2_K", - LLAMA_FTYPE_MOSTLY_Q2_K, - " 2.67G, +0.8698 ppl @ 7B - smallest, extreme quality loss - not recommended", - }, - { - "Q3_K", - LLAMA_FTYPE_MOSTLY_Q3_K_M, - "alias for Q3_K_M" - }, - { - "Q3_K_S", - LLAMA_FTYPE_MOSTLY_Q3_K_S, - " 2.75G, +0.5505 ppl @ 7B - very small, very high quality loss", - }, - { - "Q3_K_M", - LLAMA_FTYPE_MOSTLY_Q3_K_M, - " 3.06G, +0.2437 ppl @ 7B - very small, very high quality loss", - }, - { - "Q3_K_L", - LLAMA_FTYPE_MOSTLY_Q3_K_L, - " 3.35G, +0.1803 ppl @ 7B - small, substantial quality loss", - }, - { - "Q4_K", - LLAMA_FTYPE_MOSTLY_Q4_K_M, - "alias for Q4_K_M", - }, - { - "Q4_K_S", - LLAMA_FTYPE_MOSTLY_Q4_K_S, - " 3.56G, +0.1149 ppl @ 7B - small, significant quality loss", - }, - { - "Q4_K_M", - LLAMA_FTYPE_MOSTLY_Q4_K_M, - " 3.80G, +0.0535 ppl @ 7B - medium, balanced quality - *recommended*", - }, - { - "Q5_K", - LLAMA_FTYPE_MOSTLY_Q5_K_M, - "alias for Q5_K_M", - }, - { - "Q5_K_S", - LLAMA_FTYPE_MOSTLY_Q5_K_S, - " 4.33G, +0.0353 ppl @ 7B - large, low quality loss - *recommended*", - }, - { - "Q5_K_M", - LLAMA_FTYPE_MOSTLY_Q5_K_M, - " 4.45G, +0.0142 ppl @ 7B - large, very low quality loss - *recommended*", - }, - { - "Q6_K", - LLAMA_FTYPE_MOSTLY_Q6_K, - " 5.15G, +0.0044 ppl @ 7B - very large, extremely low quality loss", - }, + { "Q2_K", LLAMA_FTYPE_MOSTLY_Q2_K, " 2.67G, +0.8698 ppl @ 7B", }, + { "Q3_K", LLAMA_FTYPE_MOSTLY_Q3_K_M, "alias for Q3_K_M" }, + { "Q3_K_S", LLAMA_FTYPE_MOSTLY_Q3_K_S, " 2.75G, +0.5505 ppl @ 7B", }, + { "Q3_K_M", LLAMA_FTYPE_MOSTLY_Q3_K_M, " 3.06G, +0.2437 ppl @ 7B", }, + { "Q3_K_L", LLAMA_FTYPE_MOSTLY_Q3_K_L, " 3.35G, +0.1803 ppl @ 7B", }, + { "Q4_K", LLAMA_FTYPE_MOSTLY_Q4_K_M, "alias for Q4_K_M", }, + { "Q4_K_S", LLAMA_FTYPE_MOSTLY_Q4_K_S, " 3.56G, +0.1149 ppl @ 7B", }, + { "Q4_K_M", LLAMA_FTYPE_MOSTLY_Q4_K_M, " 3.80G, +0.0535 ppl @ 7B", }, + { "Q5_K", LLAMA_FTYPE_MOSTLY_Q5_K_M, "alias for Q5_K_M", }, + { "Q5_K_S", LLAMA_FTYPE_MOSTLY_Q5_K_S, " 4.33G, +0.0353 ppl @ 7B", }, + { "Q5_K_M", LLAMA_FTYPE_MOSTLY_Q5_K_M, " 4.45G, +0.0142 ppl @ 7B", }, + { "Q6_K", LLAMA_FTYPE_MOSTLY_Q6_K, " 5.15G, +0.0044 ppl @ 7B", }, #endif - { - "Q8_0", - LLAMA_FTYPE_MOSTLY_Q8_0, - " 6.70G, +0.0004 ppl @ 7B - very large, extremely low quality loss - not recommended", - }, - { - "F16", - LLAMA_FTYPE_MOSTLY_F16, - "13.00G @ 7B - extremely large, virtually no quality loss - not recommended", - }, - { - "F32", - LLAMA_FTYPE_ALL_F32, - "26.00G @ 7B - absolutely huge, lossless - not recommended", - }, + { "Q8_0", LLAMA_FTYPE_MOSTLY_Q8_0, " 6.70G, +0.0004 ppl @ 7B", }, + { "F16", LLAMA_FTYPE_MOSTLY_F16, "13.00G @ 7B", }, + { "F32", LLAMA_FTYPE_ALL_F32, "26.00G @ 7B", }, };