Commit Graph

503 Commits

Author SHA1 Message Date
bhubbb
698f7b5d63
make : add libllama.so target for llama-cpp-python (#797)
I was able to get llama-cpp-python working but only when I build libllama.so with make.
2023-04-07 19:11:58 +03:00
iacore
c1950c3431
zig : don't link examples/common.cpp for non-example (#814) 2023-04-07 19:05:29 +03:00
Ivan Stepanov
4953e9007f
llama : always sort logits before nucleus sampling (#812)
* Always sort logits before nucleus sampling

* remove second normalization

- fix windows build
- remove normalization since std::discrete_distribution does not require it
2023-04-07 19:02:12 +03:00
Sergey Alirzaev
cc9cee8e9e
Do not crash when it has nothing to say. (#796)
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.
2023-04-06 17:59:11 +02:00
Pavol Rusnak
d2beca95dc
Make docker instructions more explicit (#785) 2023-04-06 08:56:58 +02:00
Georgi Gerganov
eeaa7b0492
ggml : multi-thread ggml_rope() (~3-4 times faster on M1) (#781) 2023-04-05 22:11:03 +03:00
Georgi Gerganov
986b6ce9f9
ggml, llama : avoid heavy V transpose + improvements (#775)
ggml :

- added ggml_view_3d()
- ggml_view_tensor() now inherits the stride too
- reimplement ggml_cpy() to account for dst stride
- no longer require tensor->data to be memory aligned

llama :

- compute RoPE on 32-bit tensors (should be more accurate)
- store RoPE-ed K in the KV cache
- store transposed V in the KV cache (significant speed-up)
- avoid unnecessary Q copy
2023-04-05 22:07:33 +03:00
Georgi Gerganov
3416298929
Update README.md 2023-04-05 19:54:30 +03:00
Ivan Stepanov
5a8c4f6240
llama : define non-positive top_k; top_k range check (#779)
* Define non-positive top_k; top_k range check

* minor : brackets

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-04-05 19:20:05 +03:00
at8u
ff05d05c96
miku.sh : add executable bit (#780) 2023-04-05 18:59:13 +03:00
Georgi Gerganov
62b3e81aae
media : add logos and banners 2023-04-05 18:58:31 +03:00
Georgi Gerganov
8d10406d6e
readme : change logo + add bindings + add uis + add wiki 2023-04-05 18:56:20 +03:00
iacore
ed1c214e66
zig : add build.zig (#773)
Co-authored-by: Locria Cyber <74560659+locriacyber@users.noreply.github.com>
2023-04-05 18:06:02 +03:00
Ivan Stepanov
0c44427df1
make : missing host optimizations in CXXFLAGS (#763) 2023-04-05 17:38:37 +03:00
Adithya Balaji
594cc95fab
readme : update with CMake and windows example (#748)
* README: Update with CMake and windows example

* README: update with code-review for cmake build
2023-04-05 17:36:12 +03:00
at8u
88ed5761b8
examples : add Miku.sh (#724)
* 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.
2023-04-05 17:32:42 +03:00
Andrew Duffy
58c438cf7d
Add Accelerate/BLAS when using Swift (#765) 2023-04-05 06:44:24 -04:00
mgroeber9110
53dbba7695
Windows: reactive sigint handler after each Ctrl-C (#736) 2023-04-03 18:00:55 +02:00
SebastianApel
437e77855a
10+% performance improvement of ggml_vec_dot_q4_0 on AVX2 (#654)
* Performance improvement of AVX2 code
* Fixed problem with MSVC compiler
* Reviewer comments: removed double semicolon, deleted empty line 1962
2023-04-03 09:52:28 +02:00
Ivan Stepanov
cd7fa95690
Define non-positive temperature behavior (#720) 2023-04-03 02:19:04 +02:00
bsilvereagle
a0c0516416
Remove torch GPU dependencies from the Docker.full image (#665)
By using `pip install torch --index-url https://download.pytorch.org/whl/cpu`
instead of `pip install torch` we can specify we want to install a CPU-only version
of PyTorch without any GPU dependencies. This reduces the size of the Docker image
from 7.32 GB to 1.62 GB
2023-04-03 00:13:03 +02:00
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