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ggml.c
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Author
2023-04-29
cuBLAS: use host pinned memory and dequantize while copying (#1207)
slaren
2023-04-29
cuBLAS: non-contiguous tensor support (#1215)
Henri Vasserman
2023-04-28
Remove Q4_3 which is no better than Q5 (#1218)
Stephan Walter
2023-04-28
ggml : sync ggml (ggml_alibi)
Georgi Gerganov
2023-04-28
ggml : add helper debug printf in soft_max
Georgi Gerganov
2023-04-28
ggml : add CLBlast support (#1164)
0cc4m
2023-04-28
add avx2 for dot_q8_0_q8_0, 2x faster than scalar (#1211)
Yann Follet
2023-04-26
ggml : slightly faster AVX2 implementation for Q5 (#1197)
Stephan Walter
2023-04-26
ggml : add Q5_0 and Q5_1 quantization (#1187)
Georgi Gerganov
2023-04-25
ggml : add Q8_0 quantization format (rename the old one to Q8_1) (ARM NEON) (...
Georgi Gerganov
2023-04-25
ggml : use full range for Q4_0 and Q4_2 quantization (#729)
unbounded
2023-04-24
ggml : fix bug in ggml_compute_forward_sum_f32 (#1162)
xaedes
2023-04-24
Fix build for gcc 8 and test in CI (#1154)
Stephan Walter
2023-04-23
ggml : do not print perf ops that have not been used at all
Georgi Gerganov
2023-04-23
ggml : better PERF prints + support "LLAMA_PERF=1 make"
Georgi Gerganov
2023-04-23
Improve AVX2 for vec_dot_q4_3_q8_0 (#1138)
Stephan Walter
2023-04-23
A better `packNibbles` and `mul_sum_i8_pairs_float` implementation using AVX5...
Yishuo Wang
2023-04-22
ggml : fix Q4_3 cuBLAS
Georgi Gerganov
2023-04-22
Fix CI: ARM NEON, quantization unit tests, editorconfig (#1122)
Stephan Walter
2023-04-22
ggml : fix AVX build + update to new Q8_0 format
Georgi Gerganov
2023-04-22
ggml : alternative Q4_3 implementation using modified Q8_0 (#1109)
Georgi Gerganov
2023-04-22
ggml : AVX2 optimization for vec_dot_q4_3_q8_0 and refactoring (#1099)
Stephan Walter
2023-04-21
Improve cuBLAS performance by using a memory pool (#1094)
slaren
2023-04-21
ggml : a faster version for Q4_1 x Q8_0 dot products (#1083)
Kawrakow
2023-04-20
ggml : sync ggml (add GPT-NeoX RoPE implementation)
Georgi Gerganov
2023-04-20
ggml : fix bug in ggml_compute_forward_dup_f32()
Georgi Gerganov
2023-04-20
ggml : do not break cuBLAS build (Q4_3 is not yet implemented)
Georgi Gerganov
2023-04-20
ggml : fix Q4_3 quantization
Georgi Gerganov
2023-04-20
llama : multi-threaded quantization (#1075)
Kawrakow
2023-04-20
ggml : add Q4_3 quantization (#1082)
Georgi Gerganov
2023-04-20
AVX2 optimization for vec_dot_q4_2_q8_0 (#1068)
Stephan Walter
2023-04-20
Improve cuBLAS performance by dequantizing on the GPU (#1065)
slaren
2023-04-19
Q4_2 quantization with rmse-optimized scale and quants (#1062)
Kawrakow
2023-04-19
ggml : use 8-bit precision for Q4_1 intermediate results (#1047)
Georgi Gerganov
2023-04-19
ggml : Q4 cleanup - remove 4-bit dot product code (#1061)
Stephan Walter
2023-04-19
Add NVIDIA cuBLAS support (#1044)
slaren
2023-04-19
Multi-threaded ggml_cpy (#1035)
slaren
2023-04-18
ggml : add new Q4_2 quantization (ARM only) (#1046)
Georgi Gerganov
2023-04-18
ggml : scratch that - vmlaq_n_f32 is always better
Georgi Gerganov
2023-04-18
ggml : optimize ggml_vec_dot_q4_0_q8_0() using vectorized accumulators
Georgi Gerganov
2023-04-17
Add LoRA support (#820)
slaren
2023-04-17
ggml : avoid using ggml_fp16_to_fp32() and ggml_fp32_to_fp16() in ggml.c
Georgi Gerganov
2023-04-17
Speedup the AVX-512 implementation of ggml_vec_dot_q4_0() (#933)
Ivan Komarov
2023-04-15
Fix potential int8 overflow in non-SIMD vec_dot (#986)
Stephan Walter
2023-04-15
Refactor ggml.c for future tensor types (#1001)
Stephan Walter
2023-04-15
ggml : add Q8_0 quantization for intermediate results (#951)
Georgi Gerganov
2023-04-15
ggml : use posix_memalign on non-Windows env
Georgi Gerganov
2023-04-14
Expose type name from ggml (#970)
Pavol Rusnak
2023-04-14
ggml : add unary and binary map operations (#874)
Kerfuffle
2023-04-14
ggml : minor
Georgi Gerganov
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