slaren
c03a243abf
remove outdated references to -eps and -gqa from README ( #2881 )
2023-08-29 23:17:34 +02:00
Jhen-Jie Hong
74e0caeb82
readme : add react-native binding ( #2869 )
2023-08-29 12:30:10 +03:00
Georgi Gerganov
da7455d046
readme : fix headings
2023-08-27 15:52:34 +03:00
Georgi Gerganov
c48c5bb0b0
readme : update hot topics
2023-08-27 14:44:35 +03:00
Henri Vasserman
6bbc598a63
ROCm Port ( #1087 )
...
* use hipblas based on cublas
* Update Makefile for the Cuda kernels
* Expand arch list and make it overrideable
* Fix multi GPU on multiple amd architectures with rocblas_initialize() (#5 )
* add hipBLAS to README
* new build arg LLAMA_CUDA_MMQ_Y
* fix half2 decomposition
* Add intrinsics polyfills for AMD
* AMD assembly optimized __dp4a
* Allow overriding CC_TURING
* use "ROCm" instead of "CUDA"
* ignore all build dirs
* Add Dockerfiles
* fix llama-bench
* fix -nommq help for non CUDA/HIP
---------
Co-authored-by: YellowRoseCx <80486540+YellowRoseCx@users.noreply.github.com>
Co-authored-by: ardfork <134447697+ardfork@users.noreply.github.com>
Co-authored-by: funnbot <22226942+funnbot@users.noreply.github.com>
Co-authored-by: Engininja2 <139037756+Engininja2@users.noreply.github.com>
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
Co-authored-by: jammm <2500920+jammm@users.noreply.github.com>
Co-authored-by: jdecourval <7315817+jdecourval@users.noreply.github.com>
2023-08-25 12:09:42 +03:00
Georgi Gerganov
44d5462b5c
readme : fix link
2023-08-23 23:44:19 +03:00
Georgi Gerganov
c7868b0753
minor : fix trailing whitespace
2023-08-23 23:43:00 +03:00
Georgi Gerganov
79da24b58c
readme : update hot topics
2023-08-23 23:41:16 +03:00
Evan Jones
f5fe98d11b
docs : add grammar docs ( #2701 )
...
* docs : add grammar docs
* tweaks to grammar guide
* rework GBNF example to be a commented grammar
2023-08-22 21:01:57 -04:00
Georgi Gerganov
6381d4e110
gguf : new file format with flexible meta data (beta) ( #2398 )
...
* gguf : first API pass
* gguf : read header + meta data
* gguf : read tensor info
* gguf : initial model loading - not tested
* gguf : add gguf_get_tensor_name()
* gguf : do not support passing existing ggml_context to gguf_init
* gguf : simplify gguf_get_val
* gguf : gguf.c is now part of ggml.c
* gguf : read / write sample models
* gguf : add comments
* refactor : reduce code duplication and better API (#2415 )
* gguf : expose the gguf_type enum through the API for now
* gguf : add array support
* gguf.py : some code style changes
* convert.py : start a new simplified implementation by removing old stuff
* convert.py : remove GGML vocab + other obsolete stuff
* GGUF : write tensor (#2426 )
* WIP: Write tensor
* GGUF : Support writing tensors in Python
* refactor : rm unused import and upd todos
* fix : fix errors upd writing example
* rm example.gguf
* gitignore *.gguf
* undo formatting
* gguf : add gguf_find_key (#2438 )
* gguf.cpp : find key example
* ggml.h : add gguf_find_key
* ggml.c : add gguf_find_key
* gguf : fix writing tensors
* gguf : do not hardcode tensor names to read
* gguf : write sample tensors to read
* gguf : add tokenization constants
* quick and dirty conversion example
* gguf : fix writing gguf arrays
* gguf : write tensors one by one and code reuse
* gguf : fix writing gguf arrays
* gguf : write tensors one by one
* gguf : write tensors one by one
* gguf : write tokenizer data
* gguf : upd gguf conversion script
* Update convert-llama-h5-to-gguf.py
* gguf : handle already encoded string
* ggml.h : get array str and f32
* ggml.c : get arr str and f32
* gguf.py : support any type
* Update convert-llama-h5-to-gguf.py
* gguf : fix set is not subscriptable
* gguf : update convert-llama-h5-to-gguf.py
* constants.py : add layer norm eps
* gguf.py : add layer norm eps and merges
* ggml.h : increase GGML_MAX_NAME to 64
* ggml.c : add gguf_get_arr_n
* Update convert-llama-h5-to-gguf.py
* add gptneox gguf example
* Makefile : add gptneox gguf example
* Update convert-llama-h5-to-gguf.py
* add gptneox gguf example
* Update convert-llama-h5-to-gguf.py
* Update convert-gptneox-h5-to-gguf.py
* Update convert-gptneox-h5-to-gguf.py
* Update convert-llama-h5-to-gguf.py
* gguf : support custom alignment value
* gguf : fix typo in function call
* gguf : mmap tensor data example
* fix : update convert-llama-h5-to-gguf.py
* Update convert-llama-h5-to-gguf.py
* convert-gptneox-h5-to-gguf.py : Special tokens
* gptneox-main.cpp : special tokens
* Update gptneox-main.cpp
* constants.py : special tokens
* gguf.py : accumulate kv and tensor info data + special tokens
* convert-gptneox-h5-to-gguf.py : accumulate kv and ti + special tokens
* gguf : gguf counterpart of llama-util.h
* gguf-util.h : update note
* convert-llama-h5-to-gguf.py : accumulate kv / ti + special tokens
* convert-llama-h5-to-gguf.py : special tokens
* Delete gptneox-common.cpp
* Delete gptneox-common.h
* convert-gptneox-h5-to-gguf.py : gpt2bpe tokenizer
* gptneox-main.cpp : gpt2 bpe tokenizer
* gpt2 bpe tokenizer (handles merges and unicode)
* Makefile : remove gptneox-common
* gguf.py : bytesarray for gpt2bpe tokenizer
* cmpnct_gpt2bpe.hpp : comments
* gguf.py : use custom alignment if present
* gguf : minor stuff
* Update gptneox-main.cpp
* map tensor names
* convert-gptneox-h5-to-gguf.py : map tensor names
* convert-llama-h5-to-gguf.py : map tensor names
* gptneox-main.cpp : map tensor names
* gguf : start implementing libllama in GGUF (WIP)
* gguf : start implementing libllama in GGUF (WIP)
* rm binary commited by mistake
* upd .gitignore
* gguf : calculate n_mult
* gguf : inference with 7B model working (WIP)
* gguf : rm deprecated function
* gguf : start implementing gguf_file_saver (WIP)
* gguf : start implementing gguf_file_saver (WIP)
* gguf : start implementing gguf_file_saver (WIP)
* gguf : add gguf_get_kv_type
* gguf : add gguf_get_kv_type
* gguf : write metadata in gguf_file_saver (WIP)
* gguf : write metadata in gguf_file_saver (WIP)
* gguf : write metadata in gguf_file_saver
* gguf : rm references to old file formats
* gguf : shorter name for member variable
* gguf : rm redundant method
* gguf : get rid of n_mult, read n_ff from file
* Update gguf_tensor_map.py
* Update gptneox-main.cpp
* gguf : rm references to old file magics
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : start implementing quantization (WIP)
* gguf : quantization is working
* gguf : roper closing of file
* gguf.py : no need to convert tensors twice
* convert-gptneox-h5-to-gguf.py : no need to convert tensors twice
* convert-llama-h5-to-gguf.py : no need to convert tensors twice
* convert-gptneox-h5-to-gguf.py : simplify nbytes
* convert-llama-h5-to-gguf.py : simplify nbytes
* gptneox-main.cpp : n_layer --> n_block
* constants.py : n_layer --> n_block
* gguf.py : n_layer --> n_block
* convert-gptneox-h5-to-gguf.py : n_layer --> n_block
* convert-llama-h5-to-gguf.py : n_layer --> n_block
* gptneox-main.cpp : n_layer --> n_block
* Update gguf_tensor_map.py
* convert-gptneox-h5-to-gguf.py : load model in parts to save memory
* convert-llama-h5-to-gguf.py : load model in parts to save memory
* convert : write more metadata for LLaMA
* convert : rm quantization version
* convert-gptneox-h5-to-gguf.py : add file_type key
* gptneox-main.cpp : add file_type key
* fix conflicts
* gguf : add todos and comments
* convert-gptneox-h5-to-gguf.py : tensor name map changes
* Create gguf_namemap.py : tensor name map changes
* Delete gguf_tensor_map.py
* gptneox-main.cpp : tensor name map changes
* convert-llama-h5-to-gguf.py : fixes
* gguf.py : dont add empty strings
* simple : minor style changes
* gguf : use UNIX line ending
* Create convert-llama-7b-pth-to-gguf.py
* llama : sync gguf-llama.cpp with latest llama.cpp (#2608 )
* llama : sync gguf-llama.cpp with latest llama.cpp
* minor : indentation + assert
* llama : refactor gguf_buffer and gguf_ctx_buffer
* llama : minor
* gitignore : add gptneox-main
* llama : tokenizer fixes (#2549 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* convert : update convert-new.py with tokenizer fixes (#2614 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* llama : sync gguf-llama with llama (#2613 )
* llama : sync gguf-llama with llama
* tests : fix build + warnings (test-tokenizer-1 still fails)
* tests : fix wstring_convert
* convert : fix layer names
* llama : sync gguf-llama.cpp
* convert : update HF converter to new tokenizer voodoo magics
* llama : update tokenizer style
* convert-llama-h5-to-gguf.py : add token types
* constants.py : add token types
* gguf.py : add token types
* convert-llama-7b-pth-to-gguf.py : add token types
* gguf-llama.cpp : fix n_head_kv
* convert-llama-h5-to-gguf.py : add 70b gqa support
* gguf.py : add tensor data layout
* convert-llama-h5-to-gguf.py : add tensor data layout
* convert-llama-7b-pth-to-gguf.py : add tensor data layout
* gptneox-main.cpp : add tensor data layout
* convert-llama-h5-to-gguf.py : clarify the reverse permute
* llama : refactor model loading code (#2620 )
* llama : style formatting + remove helper methods
* llama : fix quantization using gguf tool
* llama : simplify gguf_file_saver
* llama : fix method names
* llama : simplify write_header()
* llama : no need to pass full file loader to the file saver
just gguf_ctx
* llama : gguf_file_saver write I32
* llama : refactor tensor names (#2622 )
* gguf: update tensor names searched in quantization
* gguf : define tensor names as constants
* gguf : initial write API (not tested yet)
* gguf : write to file API (not tested)
* gguf : initial write API ready + example
* gguf : fix header write
* gguf : fixes + simplify example + add ggml_nbytes_pad()
* gguf : minor
* llama : replace gguf_file_saver with new gguf write API
* gguf : streaming support when writing files
* gguf : remove oboslete write methods
* gguf : remove obosolete gguf_get_arr_xxx API
* llama : simplify gguf_file_loader
* llama : move hparams and vocab from gguf_file_loader to llama_model_loader
* llama : merge gguf-util.h in llama.cpp
* llama : reorder definitions in .cpp to match .h
* llama : minor simplifications
* llama : refactor llama_model_loader (WIP)
wip : remove ggml_ctx from llama_model_loader
wip : merge gguf_file_loader in llama_model_loader
* llama : fix shape prints
* llama : fix Windows build + fix norm_rms_eps key
* llama : throw error on missing KV paris in model meta data
* llama : improve printing + log meta data
* llama : switch print order of meta data
---------
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
* gguf : deduplicate (#2629 )
* gguf : better type names
* dedup : CPU + Metal is working
* ggml : fix warnings about unused results
* llama.cpp : fix line feed and compiler warning
* llama : fix strncpy warning + note token_to_str does not write null
* llama : restore the original load/save session implementation
Will migrate this to GGUF in the future
* convert-llama-h5-to-gguf.py : support alt ctx param name
* ggml : assert when using ggml_mul with non-F32 src1
* examples : dedup simple
---------
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
* gguf.py : merge all files in gguf.py
* convert-new.py : pick #2427 for HF 70B support
* examples/gguf : no need to keep q option for quantization any more
* llama.cpp : print actual model size
* llama.cpp : use ggml_elements()
* convert-new.py : output gguf (#2635 )
* convert-new.py : output gguf (WIP)
* convert-new.py : add gguf key-value pairs
* llama : add hparams.ctx_train + no longer print ftype
* convert-new.py : minor fixes
* convert-new.py : vocab-only option should work now
* llama : fix tokenizer to use llama_char_to_byte
* tests : add new ggml-vocab-llama.gguf
* convert-new.py : tensor name mapping
* convert-new.py : add map for skipping tensor serialization
* convert-new.py : convert script now works
* gguf.py : pick some of the refactoring from #2644
* convert-new.py : minor fixes
* convert.py : update to support GGUF output
* Revert "ci : disable CI temporary to not waste energy"
This reverts commit 7e82d25f40#2644 )
* gguf : single pass for writing tensors + refactoring writer
* gguf : single pass for writing tensors + refactoring writer
* gguf : single pass for writing tensors + refactoring writer
* gguf : style fixes in simple conversion script
* gguf : refactor gptneox conversion script
* gguf : rename h5 to hf (for HuggingFace)
* gguf : refactor pth to gguf conversion script
* gguf : rm file_type key and method
* gguf.py : fix vertical alignment
* gguf.py : indentation
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* convert-gptneox-hf-to-gguf.py : fixes
* gguf.py : gptneox mapping
* convert-llama-hf-to-gguf.py : fixes
* convert-llama-7b-pth-to-gguf.py : fixes
* ggml.h : reverse GGUF_MAGIC
* gguf.py : reverse GGUF_MAGIC
* test-tokenizer-0.cpp : fix warning
* llama.cpp : print kv general.name
* llama.cpp : get special token kv and linefeed token id
* llama : print number of tensors per type + print arch + style
* tests : update vocab file with new magic
* editorconfig : fix whitespaces
* llama : re-order functions
* llama : remove C++ API + reorganize common source in /common dir
* llama : minor API updates
* llama : avoid hardcoded special tokens
* llama : fix MPI build
ggml-ci
* llama : introduce enum llama_vocab_type + remove hardcoded string constants
* convert-falcon-hf-to-gguf.py : falcon HF --> gguf conversion, not tested
* falcon-main.cpp : falcon inference example
* convert-falcon-hf-to-gguf.py : remove extra kv
* convert-gptneox-hf-to-gguf.py : remove extra kv
* convert-llama-7b-pth-to-gguf.py : remove extra kv
* convert-llama-hf-to-gguf.py : remove extra kv
* gguf.py : fix for falcon 40b
* falcon-main.cpp : fix for falcon 40b
* convert-falcon-hf-to-gguf.py : update ref
* convert-falcon-hf-to-gguf.py : add tensor data layout
* cmpnct_gpt2bpe.hpp : fixes
* falcon-main.cpp : fixes
* gptneox-main.cpp : fixes
* cmpnct_gpt2bpe.hpp : remove non-general stuff
* Update examples/server/README.md
Co-authored-by: slaren <slarengh@gmail.com>
* cmpnct_gpt2bpe.hpp : cleanup
* convert-llama-hf-to-gguf.py : special tokens
* convert-llama-7b-pth-to-gguf.py : special tokens
* convert-permute-debug.py : permute debug print
* convert-permute-debug-master.py : permute debug for master
* convert-permute-debug.py : change permute type of attn_q
* convert.py : 70b model working (change attn_q permute)
* Delete convert-permute-debug-master.py
* Delete convert-permute-debug.py
* convert-llama-hf-to-gguf.py : fix attn_q permute
* gguf.py : fix rope scale kv
* convert-llama-hf-to-gguf.py : rope scale and added tokens
* convert-llama-7b-pth-to-gguf.py : rope scale and added tokens
* llama.cpp : use rope scale kv
* convert-llama-7b-pth-to-gguf.py : rope scale fix
* convert-llama-hf-to-gguf.py : rope scale fix
* py : fix whitespace
* gguf : add Python script to convert GGMLv3 LLaMA models to GGUF (#2682 )
* First pass at converting GGMLv3 LLaMA models to GGUF
* Cleanups, better output during conversion
* Fix vocab space conversion logic
* More vocab conversion fixes
* Add description to converted GGUF files
* Improve help text, expand warning
* Allow specifying name and description for output GGUF
* Allow overriding vocab and hyperparams from original model metadata
* Use correct params override var name
* Fix wrong type size for Q8_K
Better handling of original style metadata
* Set default value for gguf add_tensor raw_shape KW arg
* llama : improve token type support (#2668 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* Improved tokenizer test
But does it work on MacOS?
* Improve token type support
- Added @klosax code to convert.py
- Improved token type support in vocabulary
* Exclude platform dependent tests
* More sentencepiece compatibility by eliminating magic numbers
* Restored accidentally removed comment
* llama : add API for token type
ggml-ci
* tests : use new tokenizer type API (#2692 )
* Merge tokenizer fixes into the gguf branch.
* Add test vocabularies
* Adapt convert-new.py (and fix a clang-cl compiler error on windows)
* Improved tokenizer test
But does it work on MacOS?
* Improve token type support
- Added @klosax code to convert.py
- Improved token type support in vocabulary
* Exclude platform dependent tests
* More sentencepiece compatibility by eliminating magic numbers
* Restored accidentally removed comment
* Improve commentary
* Use token type API in test-tokenizer-1.cpp
* py : cosmetics
* readme : add notice about new file format
ggml-ci
---------
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
Co-authored-by: goerch <jhr.walter@t-online.de>
Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
2023-08-21 23:07:43 +03:00
Adrian
2d8b76a110
Add link to clojure bindings to Readme. ( #2659 )
2023-08-18 21:39:22 +02:00
Georgi Gerganov
7af633aec3
readme : incoming BREAKING CHANGE
2023-08-18 17:48:31 +03:00
mdrokz
eaf98c2649
readme : add link to Rust bindings ( #2656 )
2023-08-18 13:17:58 +03:00
Johannes Gäßler
0992a7b8b1
README: fix LLAMA_CUDA_MMV_Y documentation ( #2647 )
2023-08-17 23:57:59 +02:00
Henri Vasserman
6ddeefad9b
[Zig] Fixing Zig build and improvements ( #2554 )
...
* Fix zig after console.o was split
* Better include and flag management
* Change LTO to option
2023-08-17 23:11:18 +03:00
Johannes Gäßler
25d43e0eb5
CUDA: tuned mul_mat_q kernels ( #2546 )
2023-08-09 09:42:34 +02:00
ldwang
220d931864
readme : add Aquila-7B model series to supported models ( #2487 )
...
* support bpe tokenizer in convert
Signed-off-by: ldwang <ftgreat@gmail.com>
* support bpe tokenizer in convert
Signed-off-by: ldwang <ftgreat@gmail.com>
* support bpe tokenizer in convert, fix
Signed-off-by: ldwang <ftgreat@gmail.com>
* Add Aquila-7B models in README.md
Signed-off-by: ldwang <ftgreat@gmail.com>
* Up Aquila-7B models in README.md
Signed-off-by: ldwang <ftgreat@gmail.com>
---------
Signed-off-by: ldwang <ftgreat@gmail.com>
Co-authored-by: ldwang <ftgreat@gmail.com>
2023-08-02 11:21:11 +03:00
Yiming Cui
a312193e18
readme : Add Chinese LLaMA-2 / Alpaca-2 to supported models ( #2475 )
...
* add support for chinese llama-2 / alpaca-2
* remove white spaces
2023-08-02 09:18:31 +03:00
Johannes Gäßler
0728c5a8b9
CUDA: mmq CLI option, fixed mmq build issues ( #2453 )
2023-07-31 15:44:35 +02:00
Johannes Gäßler
11f3ca06b8
CUDA: Quantized matrix matrix multiplication ( #2160 )
...
* mmq implementation for non k-quants
* q6_K
* q2_K
* q3_k
* q4_K
* vdr
* q5_K
* faster q8_1 loading
* loop unrolling
* add __restrict__
* q2_K sc_high
* GGML_CUDA_MMQ_Y
* Updated Makefile
* Update Makefile
* DMMV_F16 -> F16
* Updated README, CMakeLists
* Fix CMakeLists.txt
* Fix CMakeLists.txt
* Fix multi GPU out-of-bounds
2023-07-29 23:04:44 +02:00
niansa/tuxifan
edcc7ae7d2
Obtaining LLaMA 2 instructions ( #2308 )
...
* Obtaining LLaMA 2 instructions
* Removed sharing warning for LLaMA 2
* Linked TheBloke's GGML repos
* Add LLaMA 2 to list of supported models
* Added LLaMA 2 usage instructions
* Added links to LLaMA 2 70B models
2023-07-28 03:14:11 +02:00
Johannes Gäßler
70d26ac388
Fix __dp4a documentation ( #2348 )
2023-07-23 17:49:06 +02:00
Jose Maldonado
91171b8072
make : fix CLBLAST compile support in FreeBSD ( #2331 )
...
* Fix Makefile for CLBLAST compile support and instructions for compile llama.cpp FreeBSD
* More general use-case for CLBLAST support (Linux and FreeBSD)
2023-07-23 14:52:08 +03:00
wzy
78a3d13424
flake : remove intel mkl from flake.nix due to missing files ( #2277 )
...
NixOS's mkl misses some libraries like mkl-sdl.pc. See #2261
Currently NixOS doesn't have intel C compiler (icx, icpx). See https://discourse.nixos.org/t/packaging-intel-math-kernel-libraries-mkl/975
So remove it from flake.nix
Some minor changes:
- Change pkgs.python310 to pkgs.python3 to keep latest
- Add pkgconfig to devShells.default
- Remove installPhase because we have `cmake --install` from #2256
2023-07-21 13:26:34 +03:00
wzy
45a1b07e9b
flake : update flake.nix ( #2270 )
...
When `isx86_32 || isx86_64`, it will use mkl, else openblas
According to
https://discourse.nixos.org/t/rpath-of-binary-contains-a-forbidden-reference-to-build/12200/3 ,
add -DCMAKE_SKIP_BUILD_RPATH=ON
Fix #2261 , Nix doesn't provide mkl-sdl.pc.
When we build with -DBUILD_SHARED_LIBS=ON, -DLLAMA_BLAS_VENDOR=Intel10_lp64
replace mkl-sdl.pc by mkl-dynamic-lp64-iomp.pc
2023-07-19 10:01:55 +03:00
Jiří Podivín
27ab66e437
py : turn verify-checksum-models.py into executable ( #2245 )
...
README.md was adjusted to reflect the change.
Signed-off-by: Jiri Podivin <jpodivin@gmail.com>
2023-07-16 22:54:47 +03:00
Chad Brewbaker
917831c63a
readme : fix zig build instructions ( #2171 )
2023-07-11 19:03:06 +03:00
Evan Miller
5656d10599
mpi : add support for distributed inference via MPI ( #2099 )
...
* MPI support, first cut
* fix warnings, update README
* fixes
* wrap includes
* PR comments
* Update CMakeLists.txt
* Add GH workflow, fix test
* Add info to README
* mpi : trying to move more MPI stuff into ggml-mpi (WIP) (#2099 )
* mpi : add names for layer inputs + prep ggml_mpi_graph_compute()
* mpi : move all MPI logic into ggml-mpi
Not tested yet
* mpi : various fixes - communication now works but results are wrong
* mpi : fix output tensor after MPI compute (still not working)
* mpi : fix inference
* mpi : minor
* Add OpenMPI to GH action
* [mpi] continue-on-error: true
* mpi : fix after master merge
* [mpi] Link MPI C++ libraries to fix OpenMPI
* tests : fix new llama_backend API
* [mpi] use MPI_INT32_T
* mpi : factor out recv / send in functions and reuse
* mpi : extend API to allow usage with outer backends (e.g. Metal)
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-10 18:49:56 +03:00
JackJollimore
18780e0a5e
readme : update Termux instructions ( #2147 )
...
The file pathing is significant when running models inside of Termux on Android devices. llama.cpp performance is improved with loading a .bin from the $HOME directory.
2023-07-09 11:20:43 +03:00
rankaiyx
2492a53fd0
readme : add more docs indexes ( #2127 )
...
* Update README.md to add more docs indexes
* Update README.md to add more docs indexes
2023-07-09 10:38:42 +03:00
dylan
84525e7962
docker : add support for CUDA in docker ( #1461 )
...
Co-authored-by: canardleteer <eris.has.a.dad+github@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-07 21:25:25 +03:00
Judd
36680f6e40
convert : update for baichuan ( #2081 )
...
1. guess n_layers;
2. relax warnings on context size;
3. add a note that its derivations are also supported.
Co-authored-by: Judd <foldl@boxvest.com>
2023-07-06 19:23:49 +03:00
Johannes Gäßler
924dd22fd3
Quantized dot products for CUDA mul mat vec ( #2067 )
2023-07-05 14:19:42 +02:00
Georgi Gerganov
b472f3fca5
readme : add link web chat PR
2023-07-04 22:25:22 +03:00
Judd
471aab6e4c
convert : add support of baichuan-7b ( #2055 )
...
Co-authored-by: Judd <foldl@boxvest.com>
2023-07-01 20:00:25 +03:00
Roman Parykin
d38e451578
readme : add Scala 3 bindings repo ( #2010 )
2023-06-26 22:47:59 +03:00
Gustavo Rocha Dias
aa777abbb7
readme : LD_LIBRARY_PATH complement for some Android devices when building with CLBlast inside Termux ( #2007 )
...
* docs - Alternative way to build at Android, with CLBlast.
* doc - LD_LIBRARY_PATH complement for some Android devices when building with CLBlast inside Termux.
* doc- fix typo
2023-06-26 22:34:45 +03:00
Georgi Gerganov
412c60e473
readme : add link to new k-quants for visibility
2023-06-26 19:45:09 +03:00
Georgi Gerganov
447ccbe8c3
readme : add new roadmap + manifesto
2023-06-25 16:08:12 +03:00
Georgi Gerganov
66a2555ba6
readme : add Azure CI discussion link
2023-06-25 09:07:03 +03:00
Georgi Gerganov
11da1a85cd
readme : fix whitespaces
2023-06-24 13:38:18 +03:00
Alberto
235b610d65
readme : fixed termux instructions ( #1973 )
2023-06-24 13:32:13 +03:00
eiery
d7b7484f74
Add OpenLLaMA instructions to the README ( #1954 )
...
* add openllama to readme
2023-06-23 10:38:01 +02:00
Rahul Vivek Nair
fb98254f99
Fix typo in README.md ( #1961 )
2023-06-21 23:48:43 +02:00
Georgi Gerganov
049aa16b8c
readme : add link to p1
2023-06-20 19:05:54 +03:00
Xiake Sun
2322ec223a
Fix typo ( #1949 )
2023-06-20 15:42:40 +03:00
Johannes Gäßler
16b9cd1939
Convert vector to f16 for dequantize mul mat vec ( #1913 )
...
* Convert vector to f16 for dmmv
* compile option
* Added compilation option description to README
* Changed cmake CUDA_ARCHITECTURES from "OFF" to "native"
2023-06-19 10:23:56 +02:00
Mike
e1886cf4fe
readme : update Android build instructions ( #1922 )
...
Add steps for using termux on android devices to prevent common errors.
2023-06-18 11:28:26 +03:00
Johannes Gäßler
2c9380dd2f
Only one CUDA stream per device for async compute ( #1898 )
2023-06-17 19:15:02 +02:00
Gustavo Rocha Dias
bac19927c3
readme : alternative way to build for Android with CLBlast. ( #1828 )
2023-06-17 12:01:06 +03:00
Aisuko
059e99066d
doc : fix wrong address of BLIS.md ( #1772 )
...
Signed-off-by: Aisuko <urakiny@gmail.com>
2023-06-10 17:08:11 +03:00
Georgi Gerganov
4dc62c545d
readme : add June roadmap
2023-06-07 07:15:08 +03:00
Yuval Peled
f4c55d3bd7
docs : add performance troubleshoot + example benchmark documentation ( #1674 )
...
* test anchor link
* test table
* add benchmarks
* Add performance troubleshoot & benchmark
* add benchmarks
* remove unneeded line
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-06-05 23:32:36 +03:00
Foul-Tarnished
f1465624c2
readme : fix typo ( #1700 )
...
Fix a typo in a command in README.md
2023-06-05 23:28:37 +03:00
Georgi Gerganov
827f5eda91
readme : update hot topics
2023-06-04 23:38:19 +03:00
Georgi Gerganov
ecb217db4f
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 98c267fc77
2023-06-04 23:34:30 +03:00
Henri Vasserman
d8bd0013e8
Add info about CUDA_VISIBLE_DEVICES ( #1682 )
2023-06-03 16:35:20 +03:00
Henri Vasserman
97c9b77c4f
Add documentation about CLBlast ( #1604 )
...
Installing, compiling and using.
2023-05-27 18:47:55 +03:00
Evan Jones
c31bbe934b
readme : add docs for chat-persistent.sh ( #1568 )
...
* readme : add docs for chat-persistent.sh
* Update README.md
2023-05-24 09:24:01 +03:00
Zenix
b8ee340abe
feature : support blis and other blas implementation ( #1536 )
...
* feature: add blis support
* feature: allow all BLA_VENDOR to be assigned in cmake arguments. align with whisper.cpp pr 927
* fix: version detection for BLA_SIZEOF_INTEGER, recover min version of cmake
* Fix typo in INTEGER
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Fix: blas changes on ci
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-05-20 17:58:31 +03:00
Georgi Gerganov
ea600071cb
Revert "feature : add blis and other BLAS implementation support ( #1502 )"
...
This reverts commit 07e9ace0f9
2023-05-20 12:03:48 +03:00
Zenix
07e9ace0f9
feature : add blis and other BLAS implementation support ( #1502 )
...
* feature: add blis support
* feature: allow all BLA_VENDOR to be assigned in cmake arguments. align with whisper.cpp pr 927
* fix: version detection for BLA_SIZEOF_INTEGER, recover min version of cmake
* Fix typo in INTEGER
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-05-20 12:02:48 +03:00
Georgi Gerganov
2d5db48371
ggml : use F16 instead of F32 in Q4_0, Q4_1, Q8_0 ( #1508 )
...
* ggml : use F16 instead of F32 in Q4_0, Q4_1 and Q8_0
* llama : bump LLAMA_FILE_VERSION to 3
* cuda : update Q4 and Q8 dequantize kernels
* ggml : fix AVX dot products
* readme : update performance table + hot topics
2023-05-19 22:17:18 +03:00
David Kennedy
79e3efb0e9
readme : adds WizardLM to the list of supported models ( #1485 )
2023-05-19 20:16:30 +03:00
Georgi Gerganov
cdd5350892
readme : update Q4_0 perplexities
...
I think these were affected by the removal of the `round` during quantization
2023-05-13 09:12:44 +03:00
Rinne
089b1c93ba
readme : add C#/.NET bindings repo ( #1409 )
2023-05-12 08:39:40 +03:00
Georgi Gerganov
b9fd7eee57
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 948d124837
2023-05-12 00:23:08 +03:00
Georgi Gerganov
56551bc11f
readme : add notice about upcoming breaking change
2023-05-08 22:52:18 +03:00
AlpinDale
fe60904eef
readme : add TOC and Pygmalion instructions ( #1359 )
2023-05-08 19:33:30 +03:00
Georgi Gerganov
f9a6364912
llama : require first token to be BOS ( #1303 )
...
* 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
2023-05-08 17:41:54 +03:00
Johannes Gäßler
1f48b0abcf
Documented CUDA reproducibility, added warning ( #1346 )
2023-05-08 02:42:01 +02:00
DaniAndTheWeb
173d0e6419
makefile: automatic Arch Linux detection ( #1332 )
...
This commit is a port of a detection method used in koboldcpp's Makefile in order to automatically set the -lcblas option on Arch Linux
2023-05-05 23:57:14 +02:00
Pavol Rusnak
921dcee00a
readme: add missing info ( #1324 )
2023-05-05 16:43:36 +02:00
44670
360cfe5bec
readme : add OpenBuddy link ( #1321 )
2023-05-04 19:33:31 +03:00
Georgi Gerganov
bca9ad938a
minor : fix whitespaces ( #1302 )
2023-05-03 20:09:42 +03:00
KASR
b0c71c7b6d
scripts : platform independent script to verify sha256 checksums ( #1203 )
...
* python script to verify the checksum of the llama models
Added Python script for verifying SHA256 checksums of files in a directory, which can run on multiple platforms. Improved the formatting of the output results for better readability.
* Update README.md
update to the readme for improved readability and to explain the usage of the python checksum verification script
* update the verification script
I've extended the script based on suggestions by @prusnak
The script now checks the available RAM, is there is enough to check the file at once it will do so. If not the file is read in chunks.
* minor improvment
small change so that the available ram is checked and not the total ram
* remove the part of the code that reads the file at once if enough ram is available
based on suggestions from @prusnak i removed the part of the code that checks whether the user had enough ram to read the entire model at once. the file is now always read in chunks.
* Update verify-checksum-models.py
quick fix to pass the git check
2023-05-03 18:31:28 +03:00
Stephan Walter
36d19a603b
Remove Q4_3 which is no better than Q5 ( #1218 )
2023-04-28 23:10:43 +00:00
Georgi Gerganov
7f15c5c477
readme : update hot topics
2023-04-28 21:32:52 +03:00
Folko-Ven
78ec543733
Correcting link to w64devkit ( #1214 )
...
Correcting link to w64devkit (change seeto to skeeto).
2023-04-28 16:22:48 +02:00
Georgi Gerganov
f9be42add0
readme : add quantization info
2023-04-26 23:24:42 +03:00
DaniAndTheWeb
ea3ad7eb60
Updating build instructions to include BLAS support ( #1183 )
...
* Updated build information
First update to the build instructions to include BLAS.
* Update README.md
* Update information about BLAS
* Better BLAS explanation
Adding a clearer BLAS explanation and adding a link to download the CUDA toolkit.
* Better BLAS explanation
* BLAS for Mac
Specifying that BLAS is already supported on Macs using the Accelerate Framework.
* Clarify the effect of BLAS
* Windows Make instructions
Added the instructions to build with Make on Windows
* Fixing typo
* Fix trailing whitespace
2023-04-26 22:03:03 +02:00
Pavol Rusnak
859fee6dfb
quantize : use map to assign quantization type from string ( #1191 )
...
instead of `int` (while `int` option still being supported)
This allows the following usage:
`./quantize ggml-model-f16.bin ggml-model-q4_0.bin q4_0`
instead of:
`./quantize ggml-model-f16.bin ggml-model-q4_0.bin 2`
2023-04-26 18:43:27 +02:00
mgroeber9110
9b0a4d4214
examples/main README improvements and some light refactoring ( #1131 )
2023-04-24 15:45:32 +00:00
Pavol Rusnak
c6524f46eb
readme : update gpt4all instructions ( #980 )
2023-04-23 10:21:26 +02:00
CRD716
834695fe3a
Minor: Readme fixed grammar, spelling, and misc updates ( #1071 )
2023-04-19 19:52:14 +00:00
Georgi Gerganov
7cd5c4a3e9
readme : add warning about Q4_2 and Q4_3
2023-04-19 19:07:54 +03:00
Georgi Gerganov
7faa7460f0
readme : update hot topics about new LoRA functionality
2023-04-18 20:10:26 +03:00
Atsushi Tatsuma
e9298af389
readme : add Ruby bindings ( #1029 )
2023-04-17 22:34:35 +03:00
comex
723dac55fa
py : new conversion script ( #545 )
...
Current status: Working, except for the latest GPTQ-for-LLaMa format
that includes `g_idx`. This turns out to require changes to GGML, so
for now it only works if you use the `--outtype` option to dequantize it
back to f16 (which is pointless except for debugging).
I also included some cleanup for the C++ code.
This script is meant to replace all the existing conversion scripts
(including the ones that convert from older GGML formats), while also
adding support for some new formats. Specifically, I've tested with:
- [x] `LLaMA` (original)
- [x] `llama-65b-4bit`
- [x] `alpaca-native`
- [x] `alpaca-native-4bit`
- [x] LLaMA converted to 'transformers' format using
`convert_llama_weights_to_hf.py`
- [x] `alpaca-native` quantized with `--true-sequential --act-order
--groupsize 128` (dequantized only)
- [x] same as above plus `--save_safetensors`
- [x] GPT4All
- [x] stock unversioned ggml
- [x] ggmh
There's enough overlap in the logic needed to handle these different
cases that it seemed best to move to a single script.
I haven't tried this with Alpaca-LoRA because I don't know where to find
it.
Useful features:
- Uses multiple threads for a speedup in some cases (though the Python
GIL limits the gain, and sometimes it's disk-bound anyway).
- Combines split models into a single file (both the intra-tensor split
of the original and the inter-tensor split of 'transformers' format
files). Single files are more convenient to work with and more
friendly to future changes to use memory mapping on the C++ side. To
accomplish this without increasing memory requirements, it has some
custom loading code which avoids loading whole input files into memory
at once.
- Because of the custom loading code, it no longer depends in PyTorch,
which might make installing dependencies slightly easier or faster...
although it still depends on NumPy and sentencepiece, so I don't know
if there's any meaningful difference. In any case, I also added a
requirements.txt file to lock the dependency versions in case of any
future breaking changes.
- Type annotations checked with mypy.
- Some attempts to be extra user-friendly:
- The script tries to be forgiving with arguments, e.g. you can
specify either the model file itself or the directory containing
it.
- The script doesn't depend on config.json / params.json, just in
case the user downloaded files individually and doesn't have those
handy. But you still need tokenizer.model and, for Alpaca,
added_tokens.json.
- The script tries to give a helpful error message if
added_tokens.json is missing.
2023-04-14 10:03:03 +03:00
CRD716
ec29272175
readme : remove python 3.10 warning ( #929 )
2023-04-13 16:59:53 +03:00
Genkagaku.GPT
7e941b95eb
readme : llama node binding ( #911 )
...
* chore: add nodejs binding
* chore: add nodejs binding
2023-04-13 16:54:27 +03:00
Judd
4579af95e8
zig : update build.zig ( #872 )
...
* update
* update readme
* minimize the changes.
---------
Co-authored-by: zjli2019 <zhengji.li@ingchips.com>
2023-04-13 16:43:22 +03:00
Georgi Gerganov
f76cb3a34d
readme : change "GPU support" link to discussion
2023-04-12 14:48:57 +03:00
Georgi Gerganov
782438070f
readme : update hot topics with link to "GPU support" issue
2023-04-12 14:31:12 +03:00
Nicolai Weitkemper
4dbbd40750
readme: link to sha256sums file ( #902 )
...
This is to emphasize that these do not need to be obtained from elsewhere.
2023-04-12 08:46:20 +02:00
Pavol Rusnak
8b679987cd
Fix whitespace, add .editorconfig, add GitHub workflow ( #883 )
2023-04-11 19:45:44 +00:00
qouoq
a0caa34b16
Add BAIR's Koala to supported models ( #877 )
2023-04-10 22:41:53 +02:00
Pavol Rusnak
d2beca95dc
Make docker instructions more explicit ( #785 )
2023-04-06 08:56:58 +02:00
Georgi Gerganov
3416298929
Update README.md
2023-04-05 19:54:30 +03:00
Georgi Gerganov
8d10406d6e
readme : change logo + add bindings + add uis + add wiki
2023-04-05 18:56:20 +03:00
