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a14679cc30
* iq4_nl: squash commits for easier rebase * Basics (quantize, dequantize) * CUDA dequantize and dot product * Slightly faster CUDA dot product (120 t/s) * Switch to 6-bit scales * Scalar dot product * AVX2 dot product * ARM_NEON dot product * Works on metal, but still slow * Slightly better Metal dot product * Another small Metal improvement * Metal dot product is getting there * Faster CUDA dot product * Add 1/8 ffn_down layers as Q5_K when no imatrix has been provided * Report the actual bpw * Add _xs mix that is 4.05 bpw for non-MoE models * Remove IQ4_XS for now, slightly adjust kvalues_iq4nl * AVX2 dot product uses Q8_0 instead of Q8_K * Add to test-backend-ops * Minor fix * Also use use Q5_K for attn_output in MoE models * Fixes after merging latest master * Switching to blocks of 32 * AVX2 for blocks of 32 * Scaler dot product for blocks of 32 * ARM_NEON dot product for blocks of 32 * Metal kernels for blocks of 32 * Slightly faster Metal kernels * iq4_nl: Fix after merging with master * iq4_nl: another fix after merging with master * Use IQ4_NL instead of Q4_K when using k-quants is not possible * Fix typo that makes several tests fail * It was the ggml_vdotq thing missed inside the brackets --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com> |
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.. | ||
.gitignore | ||
CMakeLists.txt | ||
get-model.cpp | ||
get-model.h | ||
test-autorelease.cpp | ||
test-backend-ops.cpp | ||
test-c.c | ||
test-chat-template.cpp | ||
test-double-float.cpp | ||
test-grad0.cpp | ||
test-grammar-parser.cpp | ||
test-llama-grammar.cpp | ||
test-model-load-cancel.cpp | ||
test-opt.cpp | ||
test-quantize-fns.cpp | ||
test-quantize-perf.cpp | ||
test-rope.cpp | ||
test-sampling.cpp | ||
test-tokenizer-0-falcon.cpp | ||
test-tokenizer-0-falcon.py | ||
test-tokenizer-0-llama.cpp | ||
test-tokenizer-0-llama.py | ||
test-tokenizer-1-bpe.cpp | ||
test-tokenizer-1-llama.cpp |