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AgeCommit message (Expand)Author
2023-07-08Fixed OpenLLaMA 3b CUDA mul_mat_vec_q (#2144)Johannes Gäßler
2023-07-08CUDA: add __restrict__ to mul mat vec kernels (#2140)Johannes Gäßler
2023-07-05Quantized dot products for CUDA mul mat vec (#2067)Johannes Gäßler
2023-07-03Fix crash of test-tokenizer-0 under Debug build (#2064)Howard Su
2023-07-01Better CUDA synchronization logic (#2057)Johannes Gäßler
2023-06-28cuda : remove nchannels_x argument from mul_mat_vec_nc_f16_f32 (#2028)Salvador E. Tropea
2023-06-28cuda : fix missing const qualifier in casts (#2027)Salvador E. Tropea
2023-06-28CUDA GPU acceleration for LoRAs + f16 models (#1970)Johannes Gäßler
2023-06-26k-quants : support for super-block size of 64 (#2001)Kawrakow
2023-06-26Fix assert when free invalid cuda pointer (#2005)Howard Su
2023-06-24#1869 Fix null reference errors when training from scratch with CUDA (#1907)Robyn
2023-06-19cuda : faster k-quants on older GPUs (#1930)Kawrakow
2023-06-19Convert vector to f16 for dequantize mul mat vec (#1913)Johannes Gäßler
2023-06-17Only one CUDA stream per device for async compute (#1898)Johannes Gäßler
2023-06-17ggml : fix warnings under MSVC (#1908)Howard Su
2023-06-16CUDA : faster k-quant dot kernels (#1862)Kawrakow
2023-06-15Fixed CUDA runtime version check (#1879)Johannes Gäßler
2023-06-15Fix the validation of main device (#1872)Howard Su
2023-06-14CUDA full GPU acceleration, KV cache in VRAM (#1827)Johannes Gäßler
2023-06-12Leverage mmap for offloading tensors to GPU (#1597)Howard Su
2023-06-11Fixed WSL cuda's OOM error (#1594)Kyle Liang
2023-06-09Windows nvcc workaround (#1753)Johannes Gäßler
2023-06-07k-quants : allow to optionally disable at compile time (#1734)Georgi Gerganov
2023-06-06Multi GPU support, CUDA refactor, CUDA scratch buffer (#1703)Johannes Gäßler
2023-06-05ggml : add SOTA 2,3,4,5,6 bit k-quantizations (#1684)Kawrakow
2023-05-26cuda : performance optimizations (#1530)Johannes Gäßler
2023-05-20cuda : loading models directly into VRAM, norm calculation on GPU, broadcasti...Johannes Gäßler
2023-05-19ggml : use F16 instead of F32 in Q4_0, Q4_1, Q8_0 (#1508)Georgi Gerganov
2023-05-14cuda : deduplicated dequantization code (#1453)Johannes Gäßler
2023-05-13cuda : fix convert function (#1412)Georgi Gerganov
2023-05-13ggml : GPU-accelerated token generation (#1412)Johannes Gäßler
2023-05-12ggml : remove bit shuffling (#1405)Georgi Gerganov
2023-05-08Documented CUDA reproducibility, added warning (#1346)Johannes Gäßler
2023-05-01cuBLAS: refactor and optimize f16 mat mul performance (#1259)slaren
2023-05-01cuBLAS: fall back to pageable memory if pinned alloc fails (#1233)slaren
2023-04-29cuBLAS: use host pinned memory and dequantize while copying (#1207)slaren
2023-04-29cuBLAS: non-contiguous tensor support (#1215)Henri Vasserman
2023-04-28Remove Q4_3 which is no better than Q5 (#1218)Stephan Walter
2023-04-26ggml : add Q5_0 and Q5_1 quantization (#1187)Georgi Gerganov
2023-04-25ggml : add Q8_0 quantization format (rename the old one to Q8_1) (ARM NEON) (...Georgi Gerganov
2023-04-21Improve cuBLAS performance by using a memory pool (#1094)slaren
2023-04-20Add Q4_3 support to cuBLAS (#1086)slaren
2023-04-20Improve cuBLAS performance by dequantizing on the GPU (#1065)slaren