Commit graph

291 commits

Author SHA1 Message Date
anzz1
1ca5102d83 Revert "Add mmap support for model files"
This reverts commit c03ae8dca1.
2023-04-02 15:40:09 +03:00
anzz1
a084358394 Revert "Fix ggml_init_params in quantize"
This reverts commit 64bde3ffd4.
2023-04-02 15:40:04 +03:00
anzz1
28e787574b Revert "Make mmap_file static"
This reverts commit d68c5dc435.
2023-04-02 15:39:59 +03:00
anzz1
7ae9e74031 Revert "Unmap the file in llama_free"
This reverts commit 276e5b7811.
2023-04-02 15:39:53 +03:00
anzz1
9569171712 Revert "Always initialize mm_addr and mm_length in llama_model"
This reverts commit ac184d5147.
2023-04-02 15:39:46 +03:00
anzz1
c94f7e98c1 Revert "Initial windows support (untested)"
This reverts commit a017390358.
2023-04-02 15:39:40 +03:00
anzz1
17b98ca9ff Revert "Make loading weights 10-100x faster"
This reverts commit 78ca9838ee.
2023-04-02 15:39:28 +03:00
anzz1
255f019f88 Revert "Ensure --mlock works properly with mmap() support"
This reverts commit 6f23ba5ee2.
2023-04-02 15:35:09 +03:00
anzz1
91b98380b9 Revert "Introduce GGML migration tool for new file format"
This reverts commit ee0c40dd6d.
2023-04-02 15:35:01 +03:00
Thatcher Chamberlin
d8d4e865cd
Add a missing step to the gpt4all instructions (#690)
`migrate-ggml-2023-03-30-pr613.py` is needed to get gpt4all running.
2023-04-02 12:48:57 +02:00
Christian Falch
e986f94829
Added api for getting/setting the kv_cache (#685)
The api provides access methods for retrieving the current memory buffer for the kv_cache and its token number.
It also contains a method for setting the kv_cache from a memory buffer.

This makes it possible to load/save history - maybe support --cache-prompt paramater as well?

Co-authored-by: Pavol Rusnak <pavol@rusnak.io>
2023-04-02 12:23:04 +02:00
Marian Cepok
c0bb1d3ce2
ggml : change ne to int64_t (#626) 2023-04-02 13:21:31 +03:00
Leonardo Neumann
6e7801d08d
examples : add gpt4all script (#658) 2023-04-02 10:56:20 +03:00
Stephan Walter
81040f10aa
llama : do not allocate KV cache for "vocab_only == true" (#682)
Fixes sanitizer CI
2023-04-02 10:18:53 +03:00
Fabian
c4f89d8d73
make : use -march=native -mtune=native on x86 (#609) 2023-04-02 10:17:05 +03:00
Murilo Santana
5b70e7de4c
fix default params for examples/main (#697) 2023-04-02 04:41:12 +02:00
Ikko Eltociear Ashimine
a717cba844
py: huggingface -> Hugging Face (#686) 2023-04-01 18:38:18 +02:00
rimoliga
d0a7f742e7
readme: replace termux links with homepage, play store is deprecated (#680) 2023-04-01 16:57:30 +02:00
Slaren
0d054e292e Show error message when -f fails 2023-04-01 16:08:40 +02:00
Stephan Walter
3525899277
Enable -std= for cmake builds, fix warnings (#598) 2023-03-31 19:19:16 +00:00
slaren
1d08882afa
Optimize AVX2 ggml_vec_dot_q4_0 (#642) 2023-03-31 15:55:52 +00:00
perserk
02c5b27e91
Add AVX acceleration (#617)
* ggml : add AVX quantize_row_q4_0()

* ggml : add AVX ggml_vec_dot_q4_0()

* ggml : refactor AVX part of ggml_vec_dot_q4_0()

https://github.com/ggerganov/llama.cpp/pull/617#issuecomment-1489985645
2023-03-31 13:55:44 +02:00
Pavol Rusnak
cbef542879 py : cleanup the code
- use f-strings where possible
- drop first param of encode/decode functions since "utf-8" is the default
2023-03-31 10:32:01 +02:00
Pavol Rusnak
9733104be5 drop quantize.py (now that models are using a single file) 2023-03-31 01:07:32 +02:00
Georgi Gerganov
3df890aef4
readme : update supported models 2023-03-30 22:31:54 +03:00
Justine Tunney
ee0c40dd6d Introduce GGML migration tool for new file format
If you deleted your old Meta LLaMA .pth files, then the
migrate-ggml-2023-03-30-pr613.py script will allow you to convert your
old ggml files into the new mmap()'able format.

See #613
2023-03-30 12:28:25 -07:00
Justine Tunney
6f23ba5ee2 Ensure --mlock works properly with mmap() support 2023-03-30 12:28:25 -07:00
Justine Tunney
78ca9838ee 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
2023-03-30 12:28:25 -07:00
Slaren
a017390358 Initial windows support (untested) 2023-03-30 12:28:25 -07:00
Slaren
ac184d5147 Always initialize mm_addr and mm_length in llama_model 2023-03-30 12:28:25 -07:00
Slaren
276e5b7811 Unmap the file in llama_free 2023-03-30 12:28:25 -07:00
Slaren
d68c5dc435 Make mmap_file static 2023-03-30 12:28:25 -07:00
Slaren
64bde3ffd4 Fix ggml_init_params in quantize 2023-03-30 12:28:25 -07:00
Slaren
c03ae8dca1 Add mmap support for model files 2023-03-30 12:28:25 -07:00
Stephan Walter
3bcc129ba8
cmake : properly invoke CTest (#629) 2023-03-30 20:56:59 +03:00
Casey Primozic
a4755cf288
Remove unused variable (#607)
* It seems some new warning were added recently that exposed this.  I wrote the code that included this unused variable originally and it is indeed not needed.
2023-03-30 17:53:35 +00:00
david raistrick
1f0414feec
make : fix darwin f16c flags check (#615)
...there was no check.  ported upstream from https://github.com/zanussbaum/gpt4all.cpp/pull/2 (I dont see any clean path for upstream patches)
2023-03-30 20:34:45 +03:00
Georgi Gerganov
77efdf5a50
ggml : fix NEON signs (close #620, #622) 2023-03-30 20:27:32 +03:00
slaren
ed3c680bcd
Fix GGML_F32Cx8_STORE in AVX without F16C path (#619) 2023-03-30 11:16:30 +02:00
anzz1
9cbc404ba6
ci : re-enable AVX512 testing (Windows-MSVC) (#584)
* CI: Re-enable AVX512 testing (Windows-MSVC)

Now with 100% less base64 encoding

* plain __cpuid is enough here
2023-03-29 23:44:39 +03:00
Georgi Gerganov
b51c717d5c
ggml : init time on first ggml_init() call 2023-03-29 22:15:34 +03:00
Georgi Gerganov
0ba76c1e73
llama : fix compile warnings when reading the vocab 2023-03-29 22:13:12 +03:00
Georgi Gerganov
cea1c85948
ggml : add ARM_NEON dequantize_row_q4_1() 2023-03-29 22:10:01 +03:00
Georgi Gerganov
f202ada131
ggml : add ARM_NEON quantize_row_q4_1() 2023-03-29 22:03:07 +03:00
Georgi Gerganov
3b44d30d9b
ggml : add ARM_NEON ggml_vec_dot_q4_1() 2023-03-29 22:03:07 +03:00
Pavol Rusnak
61cbfff5c9
rename convert_ggml_to_pth.py -> convert-ggml-to-pth.py (#600)
to match filenames of other converters
2023-03-29 20:09:25 +02:00
Thérence
d9ad104440
Create chat-13B.bat (#592)
* 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

---------

Co-authored-by: anzz1 <anzz1@live.com>
2023-03-29 20:21:09 +03:00
Georgi Gerganov
b467702b87
readme : fix typos 2023-03-29 19:38:31 +03:00
Georgi Gerganov
516d88e75c
readme : add GPT4All instructions (close #588) 2023-03-29 19:37:20 +03:00
Georgi Gerganov
53635c081c
py : add GPT4All conversion script
For now: copy-paste
Too much time for me to deduplicate the python code
2023-03-29 19:29:52 +03:00