llama.cpp/.gitignore

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*.o
*.a
*.so
.DS_Store
.build/
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.cache/
.direnv/
.envrc
.swiftpm
.venv
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.clang-tidy
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.vs/
.vscode/
build/
build-em/
build-debug/
build-release/
build-ci-debug/
build-ci-release/
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build-static/
build-cublas/
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build-opencl/
llama : Metal inference (#1642) * mtl : export the LLaMA computation graph * ci : disable temporary * mtl : adapt the MNIST example as starter * mtl : no need for mtl-export tool, add cli arg for main instead * mtl : export just a small part of the graph for now to make it easier * mtl : move MSL code into separate file for easy editing * mtl : initial get_rows_q4_0 kernel * mtl : confirmed get_rows_q4_0 is working correctly * mtl : add rms_norm kernel + confirm working * mtl : add mul kernel + confirm working * mtl : initial mul_mat Q4 kernel (wrong results) * mtl : mul_mat fixes (still wrong) * mtl : another mul_mat Q4 (still does not work) * mtl : working mul_mat q4 * ggml : fix handling of "view" ops in ggml_graph_import() * mtl : add rope kernel * mtl : add reshape and transpose handling * ggml : store offset as opt arg for ggml_view_xd() operators * mtl : add cpy kernel + handle view ops * mtl : confirm f16 x f32 attention mul mat * mtl : add scale kernel * mtl : add diag_mask_inf kernel * mtl : fix soft_max kernel * ggml : update ggml_nbytes() to handle non-contiguous tensors * mtl : verify V tensor contents * mtl : add f32 -> f32 cpy kernel * mtl : add silu kernel * mtl : add non-broadcast mul kernel * mtl : full GPU inference of the computation graph * mtl : optimize rms_norm and soft_max kernels * mtl : add f16 mat x f32 vec multiplication kernel * mtl : fix bug in f16 x f32 mul mat + speed-up computation * mtl : faster mul_mat_q4_0_f32 kernel * mtl : fix kernel signature + roll inner loop * mtl : more threads for rms_norm + better timing * mtl : remove printfs from inner loop * mtl : simplify implementation * mtl : add save/load vocab to ggml file * mtl : plug Metal inference into llama.cpp (very quick-n-dirty) * mtl : make it work with main example Lots of hacks but at least now it generates text * mtl : preparing for merge * mtl : clean-up ggml mtl interface + suport scratch / inplace * mtl : remove temp / debug code * metal : final refactoring and simplification * Revert "ci : disable temporary" This reverts commit 98c267fc77fe811082f672538fc91bcfc9072d63. * metal : add comments * metal : clean-up stuff, fix typos * readme : add Metal instructions * readme : add example for main
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build-metal/
build-mpi/
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build-no-accel/
build-sanitize-addr/
build-sanitize-thread/
out/
tmp/
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models/*
models-mnt
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/main
/quantize
/quantize-stats
/result
/perplexity
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/embedding
/train-text-from-scratch
/simple
/benchmark-matmult
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/vdot
Server Example Refactor and Improvements (#1570) A major rewrite for the server example. Note that if you have built something on the previous server API, it will probably be incompatible. Check out the examples for how a typical chat app could work. This took a lot of effort, there are 24 PR's closed in the submitter's repo alone, over 160 commits and a lot of comments and testing. Summary of the changes: - adds missing generation parameters: tfs_z, typical_p, repeat_last_n, repeat_penalty, presence_penalty, frequency_penalty, mirostat, penalize_nl, seed, ignore_eos - applies missing top k sampler - removes interactive mode/terminal-like behavior, removes exclude parameter - moves threads and batch size to server command-line parameters - adds LoRA loading and matches command line parameters with main example - fixes stopping on EOS token and with the specified token amount with n_predict - adds server timeouts, host, and port settings - adds expanded generation complete response; adds generation settings, stop reason, prompt truncated, model used, and final text - sets defaults for unspecified parameters between requests - removes /next-token endpoint and as_loop parameter, adds stream parameter and server-sent events for streaming - adds CORS headers to responses - adds request logging, exception printing and optional verbose logging - adds better stopping words handling when matching multiple tokens and while streaming, or when it finishes on a partial stop string - adds printing an error when it can't bind to the host/port specified - fixes multi-byte character handling and replaces invalid UTF-8 characters on responses - prints timing and build info on startup - adds logit bias to request parameters - removes embedding mode - updates documentation; adds streaming Node.js and Bash examples - fixes code formatting - sets server threads to 1 since the current global state doesn't work well with simultaneous requests - adds truncation of the input prompt and better context reset - removes token limit from the input prompt - significantly simplified the logic and removed a lot of variables --------- Co-authored-by: anon998 <131767832+anon998@users.noreply.github.com> Co-authored-by: Henri Vasserman <henv@hot.ee> Co-authored-by: Felix Hellmann <privat@cirk2.de> Co-authored-by: Johannes Gäßler <johannesg@5d6.de> Co-authored-by: Lesaun Harvey <Lesaun@gmail.com>
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/server
/Pipfile
/embd-input-test
/libllama.so
build-info.h
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arm_neon.h
compile_commands.json
CMakeSettings.json
__pycache__
zig-out/
zig-cache/
ppl-*.txt
qnt-*.txt
ggml : remove bit shuffling (#1405) * 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>
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perf-*.txt
examples/jeopardy/results.txt
pyproject.toml
poetry.lock
poetry.toml
# Test binaries
tests/test-double-float
tests/test-grad0
tests/test-opt
tests/test-quantize-fns
tests/test-quantize-perf
tests/test-sampling
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tests/test-tokenizer-0