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Author SHA1 Message Date
Keiichi Tabata
2e8265ae17
convert.py : add missing abstract methods for quantized data (#2491) 2023-08-06 09:34:05 +03:00
Johannes Gäßler
f514d1b306
CUDA: faster k-quant mul_mat_q kernels (#2525) 2023-08-05 18:20:44 +02:00
Jonas Wunderlich
332311234a
fix firefox autoscroll (#2519) 2023-08-04 22:16:11 +02:00
Cebtenzzre
182af739c4
server: regenerate completion.js.hpp (#2515) 2023-08-04 21:00:57 +02:00
Cebtenzzre
4329d1acb0
CUDA: use min compute capability of GPUs actually used (#2506) 2023-08-04 17:35:22 +02:00
Cebtenzzre
02f9d96a86
CUDA: check if event is NULL before cudaStreamWaitEvent (#2505) 
Fixes #2503
 2023-08-04 17:34:32 +02:00
DannyDaemonic
3498588e0f
Add --simple-io option for subprocesses and break out console.h and cpp (#1558) 2023-08-04 08:20:12 -07:00
Stephen Nichols
5f631c2679
Fixing race condition in server and partial stream handling in frontend. (#2391) 
* Fixing race condition in server.cpp and partial stream handling in completion.js

* Reverting assert edits.

* Adding newline to eof
 2023-08-04 13:37:24 +02:00
l3utterfly
415e99fec2
Stream save llama context data to file instead of allocating entire buffer upfront (#2488) 
* added stream saving context data to file to avoid allocating unnecessary amounts of memory

* generalised copying state data to file or buffer

* added comments explaining how copy_state_data works

* fixed trailing whitespaces

* fixed save load state example

* updated save load state to use public function in llama.cpp

* - restored breakage of the llama_copy_state_data API
- moved new logic for copying llama state data to internal function

* fixed function declaration order

* restored save load state example

* fixed whitepace

* removed unused llama-util.h include

* Apply suggestions from code review

Co-authored-by: slaren <slarengh@gmail.com>

* Apply code review suggestions

Co-authored-by: slaren <slarengh@gmail.com>

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2023-08-04 13:29:52 +02:00
Borislav Stanimirov
ff966e7ca6
build : fix several cast and printf warnings (#2499) 2023-08-04 13:07:21 +03:00
Evan Jones
8183159cf3
examples : generate JSON according to schema (#1887) 
* examples : add JSON schema grammars

* complete JSON grammar

* ensure primitive types can be used as root of schema

* support integer type and adjust usage text
 2023-08-02 22:05:44 -04:00
Johannes Gäßler
468ea24fb4
CUDA: faster non k-quant mul_mat_q kernels (#2483) 2023-08-02 18:04:04 +02:00
Johannes Gäßler
4f6b60c776
CUDA: Fix models with output size != 32000 (#2480) 2023-08-02 16:48:10 +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
Eve
81844fbcfd
tests : Fix compilation warnings (Linux/GCC) (#2451) 
* fix hellaswag print format, cast away warning in test-double-float

* c++11 cannot use designated initializers

* add static to test-grad0.c internal functions

* use memcpy in test-double-float.c

* port c tests to c++

* use initializer list for ggml_init_params
 2023-08-02 11:06:19 +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
Bono Lv
c574bddb36
fix a typo in examples/server/README.md (#2478) 2023-08-01 14:54:28 +02:00
ebraminio
86aeb27734
server : Support dark mode (#2414) 
* server : Support dark mode

So it respects user system light / dark settings.

* Update index.html.hpp by running ./deps.sh
 2023-08-01 10:56:23 +02:00
Matteo Boschini
1873ff586b
metal : add gqa8 kernel to allow llama-2-70B on metal (#2459) 
* Added gqa8 kernel to allow llama-2-70B on metal

* Update ggml-metal.m

Co-authored-by: Cebtenzzre <cebtenzzre@gmail.com>

* Extend kernel_mul_mat_f16_f32 to handle gqa broadcast

* Added ne03==ne13 assertion

---------

Co-authored-by: Cebtenzzre <cebtenzzre@gmail.com>
 2023-08-01 10:43:12 +03:00
Johannes Gäßler
49e7cb5bb1
CUDA: fixed LLAMA_FAST compilation option (#2473) 2023-07-31 21:02:19 +02:00
Johannes Gäßler
b772bba42e
CUDA: fixed cmake F16 option (#2471) 2023-07-31 19:52:22 +02:00
Johannes Gäßler
0728c5a8b9
CUDA: mmq CLI option, fixed mmq build issues (#2453) 2023-07-31 15:44:35 +02:00
Johannes Gäßler
1215ed7d5c
CUDA: Implemented row flattening for non-glm RoPE (#2468) 2023-07-31 14:32:30 +02:00
Johannes Gäßler
2dbf518911
CUDA: fewer memory bank conflicts for mul_mat_q (#2458) 2023-07-31 13:18:51 +02:00
slaren
9d2382b3e4
Fix Metal backend broken from the allocator changes (#2455) 
* fix Metal backend broken from the allocator changes
 2023-07-31 11:02:53 +02:00
slaren
a113689571
ggml : add graph tensor allocator (#2411) 
* ggml : add graph tensor allocator

* ggml : don't calculate data pointer of unallocated tensors when creating a view with an offset

* ggml : refactor ggml_view_Nd into ggml_view_tensor_offset
 2023-07-30 15:58:01 +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
Johannes Gäßler
9baf9ef304
CUDA: faster multi GPU synchronization (#2448) 2023-07-29 23:04:10 +02:00
klosax
8a88e5855c
perplexity : add Hellaswag calculation (#2389) 
* common.h : add hellaswag / remove perplexity-lines

* common.cpp : add hellaswag / remove perplexity-lines

* perplexity.cpp : add hellswag scores / remove perplexity-lines

* perplexity.cpp : clean up

* common.h : change default param value

* common.cpp : Change default param

* perplexity.cpp : alter wording

* common.h : alter wording

* common.cpp : alter wording
 2023-07-28 21:25:36 +03:00
Lee
a9559bf77b
ggml : workaround for missing _mm256_setr_m128i in GCC < 8 in k_quants.c (#2405) 2023-07-28 21:17:45 +03:00
eric8607242
ee1b497c98
llama : support more diverse tokenizers? (#2420) 
* supporting more diverse tokenizers

* Update llama.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-07-28 21:10:05 +03:00
Georgi Gerganov
d73b8d48b4
examples : fix whitespace 2023-07-28 21:05:08 +03:00
nhamanasu
34ae1caf7f
examples : server chat mode with llama2 (#2400) 
* add: server chat mode with llama2

* fix: remove the unnecessary last \n
 2023-07-28 21:02:10 +03:00
Weird Constructor
d91f3f0c55
readme : fix the description of the Tail free sampling (TFS) method (#2431) 2023-07-28 11:44:43 +03:00
Rand Xie
65cdf34bdc
llama : use n_embd_gqa instead of n_embd to handle llama-2 70B (#2433) 2023-07-28 11:42:53 +03:00
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
mj-shifu
7c529cede6
convert.py : Update to support 70B HF format model files (#2427) 
* convert.py : fix llama 2 70b conversion from Huggingface
 2023-07-27 14:39:17 -06:00
Georgi Gerganov
1a941869cb
metal : disable graph concurrency optimization due to bug (#2413) 2023-07-27 11:00:54 +03:00
slaren
b5472ea0ad
ggml : fix assert in ggml_set_unary_op (#2410) 2023-07-26 23:57:23 +02:00
Cebtenzzre
6df1f5940f
make : build with -Wmissing-prototypes (#2394) 2023-07-26 21:00:04 +03:00
slaren
5488fb789e
ggml : allocate graphs in a context (#2392) 
* ggml : graph allocation in contexts

* allocate work buffer as a ggml_object in ggml_graph_compute_with_ctx

* llama.cpp : allocate graph in the context

* add GGML_PAD

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-07-26 15:56:53 +02:00
Kawrakow
eb542d3932
Add LLAMA_DEFAULT_RMS_EPS so we can change the default (#2384) 
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
 2023-07-25 18:35:53 +03:00
slaren
07aaa0f63f
ggml : fix ggml_flash_attn to use op_params (#2387) 
* ggml : fix ggml_flash_attn to use op_params
 2023-07-25 16:20:12 +02:00
ldwang
fce48caf9a
convert.py : support bpe tokenizer (#2228) 
* 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>

---------

Signed-off-by: ldwang <ftgreat@gmail.com>
Co-authored-by: ldwang <ftgreat@gmail.com>
 2023-07-25 16:22:09 +03:00
Jiahao Li
875086bdb9
ggml : relax contiguous constraints in activation function (#2371) 2023-07-25 15:58:32 +03:00
slaren
da1889834a
ggml : improve graph build time via hash table lookup (#2329) 
* improve graph build time

* ggml_tensor : use 1 bit per flag

* use a hash table instead
 2023-07-25 15:32:20 +03:00
Hesen Peng
82552b7f54
build : fix line breaking error in build-info.sh (#2349) 
* fix line breaking

* build number line break removal
 2023-07-25 15:24:09 +03:00
Xiao-Yong Jin
0c06204fb3
main : add --in-prefix-bos to prefix BOS to user inputs; keep EOS (#2304) 
* add `--in-prefix-bos` to prefix BOS to user inputs; keep EOS

The BOS precedes the string specified by `--in-prefix`.
Model generated EOS is now kept in the context.

It provides a way to strictly following the prompt format used in
Llama-2-chat.

The EOS handling also benefits some existing finetunes that uses
EOS to mark the end of turn.

* examples/common: move input_prefix_bos to other bools
 2023-07-25 15:19:11 +03:00
Eve
1fed755b1f
ci : add non-AVX scalar build/test (#2356) 
* noavx build and test

* we don't need to remove f16c in windows
 2023-07-25 15:16:13 +03:00
katsu560
be2301bcda
k_quants : add AVX support to dot functions with QK_K as 64 (#2339) 
* add AVX to ggml_vec_dot_q2_K_q8_K()

* add AVX to ggml_vec_dot_q3_K_q8_K()

* add AVX to ggml_vec_dot_q4_K_q8_K()

* add AVX to ggml_vec_dot_q5_K_q8_K()

* add AVX to ggml_vec_dot_q6_K_q8_K()

* refactor AVX code in ggml_vec_dot_q6_K_q8_K()
 2023-07-25 15:13:41 +03:00