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llama.cpp/.gitignore

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Initial release
2023-03-10 18:40:58 +00:00
*.o
*.a
.cache/
.vs/
.vscode/
.DS_Store
deploy : add a Package.swift for SwiftPM support (#393) * Add a Package.swift for SwiftPM support * Swap from exclusions to allowlist
2023-03-28 16:39:01 +00:00
.build/
Initial release
2023-03-10 18:40:58 +00:00
build/
build-em/
build-debug/
build-release/
build-static/
build-no-accel/
build-sanitize-addr/
build-sanitize-thread/
.gitignore models/
2023-03-11 10:26:46 +00:00
models/*
Initial release
2023-03-10 18:40:58 +00:00
/main
/quantize
Nix flake (#40) * 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>
2023-03-17 22:03:48 +00:00
/result
Overhaul the examples structure - main -> examples - utils -> examples (renamed to "common") - quantize -> examples - separate tools for "perplexity" and "embedding" Hope I didn't break something !
2023-03-25 18:26:40 +00:00
/perplexity
gitignore : add "embedding"
2023-03-28 15:34:35 +00:00
/embedding
Make loading weights 10-100x faster 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
2023-03-29 20:51:37 +00:00
/Pipfile
Initial release
2023-03-10 18:40:58 +00:00
arm_neon.h
compile_commands.json
Nix flake (#40) * 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>
2023-03-17 22:03:48 +00:00
.envrc
.direnv/
deploy : add a Package.swift for SwiftPM support (#393) * Add a Package.swift for SwiftPM support * Swap from exclusions to allowlist
2023-03-28 16:39:01 +00:00
.venv
__pycache__
.swiftpm
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