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Author SHA1 Message Date
klosax
f175b05872
Makefile : add gptneox gguf example 2023-07-30 15:08:37 +02:00
klosax
e9192b0135
add gptneox gguf example 2023-07-30 15:05:37 +02:00
klosax
4ed98bf1ab
Update convert-llama-h5-to-gguf.py 2023-07-30 15:01:47 +02:00
klosax
b19c11750b
ggml.c : add gguf_get_arr_n 2023-07-30 14:58:50 +02:00
klosax
b4676ee447
ggml.h : increase GGML_MAX_NAME to 64 2023-07-30 14:51:37 +02:00
klosax
ccd81a751b
gguf.py : add layer norm eps and merges 2023-07-30 14:48:14 +02:00
klosax
0790c121aa
constants.py : add layer norm eps 2023-07-30 14:46:36 +02:00
M. Yusuf Sarıgöz
87c34e4dd4 gguf : update convert-llama-h5-to-gguf.py 2023-07-30 01:09:22 +03:00
M. Yusuf Sarıgöz
32e037ffbe gguf : fix set is not subscriptable 2023-07-30 01:01:13 +03:00
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
06c3e4a1a7
Update convert-llama-h5-to-gguf.py 2023-07-29 21:38:01 +02:00
klosax
9577821487
gguf.py : support any type 2023-07-29 21:29:07 +02:00
klosax
2c22e3bcdb
ggml.c : get arr str and f32 2023-07-29 20:37:47 +02:00
klosax
34469b9ea7
ggml.h : get array str and f32 2023-07-29 20:36:06 +02:00
M. Yusuf Sarıgöz
0f5e57f01d gguf : handle already encoded string 2023-07-29 19:56:06 +03:00
klosax
8ad7cd49fb
Update convert-llama-h5-to-gguf.py 2023-07-29 16:47:00 +02:00
M. Yusuf Sarıgöz
0317c41d98 gguf : upd gguf conversion script 2023-07-29 13:31:07 +03:00
M. Yusuf Sarıgöz
cc3dd7f042 gguf : write tokenizer data 2023-07-29 13:30:22 +03:00
M. Yusuf Sarıgöz
8a76dd8a85 gguf : write tensors one by one 2023-07-29 13:17:28 +03:00
M. Yusuf Sarıgöz
c861e234f4 gguf : write tensors one by one 2023-07-29 12:49:01 +03:00
M. Yusuf Sarıgöz
0c219fb5b5 gguf : fix writing gguf arrays 2023-07-29 12:42:54 +03:00
M. Yusuf Sarıgöz
93f7f7aef7 gguf : write tensors one by one and code reuse 2023-07-29 12:34:35 +03:00
M. Yusuf Sarıgöz
aa99562d70 Merge branch 'gguf' of https://github.com//ggerganov/llama.cpp into gguf 2023-07-29 12:26:11 +03:00
M. Yusuf Sarıgöz
ea5f9ad2ca gguf : fix writing gguf arrays 2023-07-29 12:25:43 +03:00
klosax
999431c4b6
quick and dirty conversion example 2023-07-29 11:20:05 +02:00
M. Yusuf Sarıgöz
d54f53ca51 gguf : add tokenization constants 2023-07-29 12:04:45 +03:00
M. Yusuf Sarıgöz
06f423a8e1 gguf : write sample tensors to read 2023-07-29 10:26:26 +03:00
M. Yusuf Sarıgöz
08dc8fd884 gguf : do not hardcode tensor names to read 2023-07-29 10:24:46 +03:00
M. Yusuf Sarıgöz
9475cdb7a3 Merge branch 'gguf-write-tokenization' into gguf 2023-07-29 00:36:35 +03:00
M. Yusuf Sarıgöz
1495735aac gguf : fix writing tensors 2023-07-29 00:26:22 +03:00
klosax
3492f848d7
gguf : add gguf_find_key (#2438) 
* gguf.cpp : find key example

* ggml.h : add gguf_find_key

* ggml.c : add gguf_find_key
 2023-07-28 23:45:24 +03:00
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
M. Yusuf Sarıgöz
11ef380c2a
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
 2023-07-28 11:34:16 +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
d2bb3ac10b
convert.py : remove GGML vocab + other obsolete stuff 2023-07-27 16:36:35 +03:00
Georgi Gerganov
68f53485e4
convert.py : start a new simplified implementation by removing old stuff 2023-07-27 15:56:53 +03:00
Georgi Gerganov
158be8f7f4
gguf.py : some code style changes 2023-07-27 15:37:06 +03:00
Georgi Gerganov
d2b6ca13ad
gguf : add array support 2023-07-27 14:53:07 +03:00
Georgi Gerganov
d89533dff6
gguf : expose the gguf_type enum through the API for now 2023-07-27 11:10:34 +03:00
Georgi Gerganov
1a941869cb
metal : disable graph concurrency optimization due to bug (#2413) 2023-07-27 11:00:54 +03:00
M. Yusuf Sarıgöz
c85d3178b3
refactor : reduce code duplication and better API (#2415) 2023-07-27 10:29:29 +03:00
slaren
b5472ea0ad
ggml : fix assert in ggml_set_unary_op (#2410) 2023-07-26 23:57:23 +02:00