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* Initial version of q4_0 matrix multiplication benchmark
* Bugfix: Added dependency to ggml.o to benchmark
* Reviewer requests: added parameter for threads, switched to ggml_time_us()
* Reviewer input: removed rtsc, use epsilon for check
* Review comment: Removed set_locale
* Feature: Param for numer of iterations, Bugfix for use of parameter threads
* Reviewer suggestion: Moved to examples
* Reviewer feedback: Updated clean: and benchmark: sections
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Mostly for msys2 and mingw64 builds, which are different from each other
and different from standard Visual Studio builds. Isn't Windows fun?
- Define _GNU_SOURCE in more files (it's already used in ggml.c for
Linux's sake).
- Don't use PrefetchVirtualMemory if not building for Windows 8 or later
(mingw64 doesn't by default). But warn the user about this situation
since it's probably not intended.
- Check for NOMINMAX already being defined, which it is on mingw64.
- Actually use the `increment` variable (bug in my `pizza` PR).
- Suppress unused variable warnings in the fake pthread_create and
pthread_join implementations for Windows.
- (not Windows-related) Remove mention of `asprintf` from comment;
`asprintf` is no longer used.
Fixes #871.
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- Support all three formats (ggml, ggmf, ggjt). (However, I didn't
include the hack needed to support GPT4All files without conversion.
Those can still be used after converting them with convert.py from my
other PR.)
- Support both mmap and read (mmap is used by default, but can be
disabled with `--no-mmap`, and is automatically disabled for pre-ggjt
files or on platforms where mmap is not supported).
- Support multi-file models like before, but automatically determine the
number of parts rather than requiring `--n_parts`.
- Improve validation and error checking.
- Stop using the per-file type field (f16) entirely in favor of just
relying on the per-tensor type/size fields. This has no immediate
benefit, but makes it easier to experiment with different formats, and
should make it easier to support the new GPTQ-for-LLaMa models in the
future (I have some work in progress on that front).
- Support VirtualLock on Windows (using the same `--mlock` option as on
Unix).
- Indicate loading progress when using mmap + mlock. (Which led me
to the interesting observation that on my Linux machine, with a
warm file cache, mlock actually takes some time, whereas mmap
without mlock starts almost instantly...)
- To help implement this, move mlock support from ggml to the
loading code.
- madvise/PrefetchVirtualMemory support (based on #740)
- Switch from ifstream to the `fopen` family of functions to avoid
unnecessary copying and, when mmap is enabled, allow reusing the same
file descriptor for both metadata reads and mmap (whereas the existing
implementation opens the file a second time to mmap).
- Quantization now produces a single-file output even with multi-file
inputs (not really a feature as much as 'it was easier this way').
Implementation notes:
I tried to factor the code into more discrete pieces than before.
Regarding code style: I tried to follow the code style, but I'm naughty
and used a few advanced C++ features repeatedly:
- Destructors to make it easier to ensure everything gets cleaned up.
- Exceptions. I don't even usually use exceptions when writing C++, and
I can remove them if desired... but here they make the loading code
much more succinct while still properly handling a variety of errors,
ranging from API calls failing to integer overflow and allocation
failure. The exceptions are converted to error codes at the
API boundary.)
Co-authored-by: Pavol Rusnak <pavol@rusnak.io> (for the bit I copied from #740)
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Use UTF-16 as input on Windows, since UTF-8 does not work and reads multibyte characters as zeros
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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
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Otherwise observing this in the interactive mode:
/usr/lib/gcc/x86_64-pc-linux-gnu/12/include/g++-v12/bits/stl_vector.h:1230: reference std::vector<int>::back() [_Tp = int, _Alloc = std::allocator<int>]: Assertion '!this->empty()' failed.
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* Add Miku.sh to examples
* Add missing line to prompt in Miku.sh
* Add --keep param to Miku.sh
* Remove '[end_of_conversation]' line from Miku.sh
No longer is necessary.
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* Create chat-13B.bat
Same script than chat-13B.sh, but for windows users.
Tested and working on windows 10/11 v 22H2
* Apply suggestions from code review
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Co-authored-by: anzz1 <anzz1@live.com>
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* add example of re-act pattern
* spelling...
* fixed whitespace in reverse prompt issue
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* Revert 7e53955 (#542)
Still needs to be fixed properly
* Fix linking on mingw32
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* Be more strict about converting float to double
* Test equivalence of round, SILU implementations
Test module is commented out in CMakeLists.txt because the tests may
take a long time, depending on how much the compiler optimizes.
* Fix softmax in perplexity.cpp
* all : prefer float over double where appropriate
* perplexity : add <cmath>
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Introduce structs for the q4 data blocks
* ggml : rename quant struct variables + fix ARM_NEON
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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- main: entering empty line passes back control without new input in interactive/instruct modes
- instruct mode: keep prompt fix
- instruct mode: duplicate instruct prompt fix
- refactor: move common console code from main->common
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Allow exiting the interactive prompt also with CTRL-D on Unix and CTRL-Z
on Windows.
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Sets console codepage to 65001 (CP_UTF8) on start for both input and output, should fix problems with UTF-8 characters.
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- main -> examples
- utils -> examples (renamed to "common")
- quantize -> examples
- separate tools for "perplexity" and "embedding"
Hope I didn't break something !
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(#476)
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The prompt contains a typo where 'alound' is used instead of 'aloud'.
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* Add chatLLaMa script
* Fix shellcheck errors and do some cleanup
* Move chatLLaMa script to `examples` directory
* Reduce chatLLaMa context size to 2048
Ref d7def1a7524f712e5ebb7cd02bab0f13aa56a7f9
* Include n_predict to 2048 in examples/chatLLaMa
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