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2023-05-13llama : fix various warningsGeorgi Gerganov
2023-05-12ggml : remove bit shuffling (#1405)Georgi Gerganov
* ggml : remove Q4_0 bit shufling (ARM NEON) * ggml : remove Q4_1 bit shuffling (ARM NEON + reference) * ggml : nibbles_from_floats() + bytes_from_nibbles() (ARM NEON) * ggml : remove Q4_2 bit shuffling (WIP, BROKEN) * ggml : remove Q5_0 bit shuffling (ARM NEON) * ggml : 2x faster scalar implementations * ggml : remove Q5_1 bit shuffling (ARM NEON + scalar) * ggml : simplify scalar dot * ggml : remove WASM SIMD bit shuffling + remove vzip for ARM 32-bit * ggml : fix Q4_1 quantization * ggml : update cuBLAS + normalize variable names * ggml : remove Q4_2 mode * ggml : minor formatting * ggml : fix Q5_0 quantization * scripts : add script for measuring the time per token * AVX implementations (#1370) * ggml : uniform 5th bit extraction * llama : produce error upon loading old model files * llama : fix model magic/version write * ggml : speed-up Q5_0 + Q5_1 at 4 threads * ggml : preserve old Q4 and Q5 formats * ggml : simplify Q8_1 - no need for low / high sums anymore * ggml : fix Q8_0 and Q8_1 rounding * Revert "AVX implementations (#1370)" This reverts commit 948d124837f9d287d8490f41338e0e4cceb0814f. * ggml : fix AVX2 implementation * sha : update hashes for 7B and 13B * readme : update timings + remove warning banner * llama : update v2 PR number to 1405 * ggml : fix WASM comments * ggml : back to original bit order * readme : add note that Q4 and Q5 have been changed * llama : fix return for unknown version --------- Co-authored-by: Stephan Walter <stephan@walter.name>
2023-05-08llama : require first token to be BOS (#1303)Georgi Gerganov
* llama : require first token to be BOS * scripts : add ppl-run-all.sh * perplexity : add BOS for each chunk * readme : update perplexity values after BOS fix * perplexity : add clarifying comments
2023-05-06Remove default arguments from sampling functions (#1343)Jed Fox
2023-05-01Add git-based build information for better issue tracking (#1232)DannyDaemonic
* Add git-based build information for better issue tracking * macOS fix * "build (hash)" and "CMAKE_SOURCE_DIR" changes * Redo "CMAKE_CURRENT_SOURCE_DIR" and clearer build messages * Fix conditional dependency on missing target * Broke out build-info.cmake, added find_package fallback, and added build into to all examples, added dependencies to Makefile * 4 space indenting for cmake, attempt to clean up my mess in Makefile * Short hash, less fancy Makefile, and don't modify build-info.h if it wouldn't change it
2023-04-30Various fixes to mat_mul benchmark (#1253)Stephan Walter
2023-04-28examples : add Jeopardy example (#1168)CRD716
* Basic Setup * Prevent Results.txt from coming up * Prefixes, Line separators, etc * editorcheck * introduction to give more consistent results * Basic graph thing * Grading, ready for testing! * Y'all ready to get funky? * fix column removal stuff * missed a few
2023-04-26ggml : add Q5_0 and Q5_1 quantization (#1187)Georgi Gerganov
* ggml : add Q5_0 quantization (cuBLAS only) * ggml : fix Q5_0 qh -> uint32_t * ggml : fix q5_0 histogram stats * ggml : q5_0 scalar dot product * ggml : q5_0 ARM NEON dot * ggml : q5_0 more efficient ARM NEON using uint64_t masks * ggml : rename Q5_0 -> Q5_1 * ggml : adding Q5_0 mode * quantize : add Q5_0 and Q5_1 to map * ggml : AVX2 optimizations for Q5_0, Q5_1 (#1195) --------- Co-authored-by: Stephan Walter <stephan@walter.name>
2023-04-19ggml : use 8-bit precision for Q4_1 intermediate results (#1047)Georgi Gerganov
* ggml : use 8-bit precision for Q4_1 intermediate results (ARM) * ggml : optimize ggml_vec_dot_q4_1_q8_0() via vmalq_n_f32 56 ms/token with Q4_1 ! * ggml : AVX2 implementation of ggml_vec_dot_q4_1_q8_0 (#1051) * gitignore : ignore ppl-*.txt files --------- Co-authored-by: slaren <2141330+slaren@users.noreply.github.com>
2023-04-18gitignore : vdotGeorgi Gerganov
2023-04-13gitignore : benchmarkGeorgi Gerganov
2023-04-08Add quantize-stats command for testing quantization (#728)unbounded
Command that calculates some statistics over the errors introduced by quantization, like mean square error, max error and some percentile errors for layer weights. Should be useful for testing quantization improvements. Exposes some internal state from ggml and llama for testing
2023-04-05zig : add build.zig (#773)iacore
Co-authored-by: Locria Cyber <74560659+locriacyber@users.noreply.github.com>
2023-03-30Make loading weights 10-100x fasterJustine Tunney
This is a breaking change that's going to give you three benefits: 1. Your inference commands should load 100x faster 2. You may be able to safely load models 2x larger 3. You can run many concurrent inference processes This was accomplished by changing the file format so we can mmap() weights directly into memory without having to read() or copy them thereby ensuring the kernel can make its file cache pages directly accessible to our inference processes; and secondly, that the file cache pages are much less likely to get evicted (which would force loads to hit disk) because they're no longer competing with memory pages that were needlessly created by gigabytes of standard i/o. The new file format supports single-file models like LLaMA 7b, and it also supports multi-file models like LLaMA 13B. Our Python tool now merges the foo.1, foo.2, etc. files back into a single file so that the C++ code which maps it doesn't need to reshape data every time. That's made llama.cpp so much simpler. Much of its load code has now been deleted. Furthermore, this change ensures that tensors are aligned properly on a 32-byte boundary. That opens the door to seeing if we can get additional performance gains on some microprocessors, by using ops that require memory alignment. Lastly note that both POSIX and the Windows platform are supported Fixes #91
2023-03-28deploy : add a Package.swift for SwiftPM support (#393)Jed Fox
* Add a Package.swift for SwiftPM support * Swap from exclusions to allowlist
2023-03-28gitignore : add "embedding"Georgi Gerganov
2023-03-25Overhaul the examples structureGeorgi Gerganov
- main -> examples - utils -> examples (renamed to "common") - quantize -> examples - separate tools for "perplexity" and "embedding" Hope I didn't break something !
2023-03-17Nix flake (#40)Niklas Korz
* Nix flake * Nix: only add Accelerate framework on macOS * Nix: development shel, direnv and compatibility * Nix: use python packages supplied by withPackages * Nix: remove channel compatibility * Nix: fix ARM neon dotproduct on macOS --------- Co-authored-by: Pavol Rusnak <pavol@rusnak.io>
2023-03-11.gitignore models/Georgi Gerganov
2023-03-10Initial releaseGeorgi Gerganov