Commit Graph

1233 Commits

Author SHA1 Message Date
James Reynolds
229aab351c
make : fix combination of LLAMA_METAL and LLAMA_MPI (#2208)
Fixes https://github.com/ggerganov/llama.cpp/issues/2166 by moving commands after the CFLAGS are changed.
2023-07-14 20:34:40 +03:00
Georgi Gerganov
697966680b
ggml : sync (ggml_conv_2d, fix mul_mat bug, CUDA GLM rope) 2023-07-14 16:36:41 +03:00
Kawrakow
27ad57a69b
Metal: faster Q4_0 and Q4_1 matrix x vector kernels (#2212)
* 3-5% faster Q4_0 on Metal

* 7-25% faster Q4_1 on Metal

* Oops, forgot to delete the original Q4_1 kernel

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2023-07-14 11:46:21 +02:00
Howard Su
32c5411631
Revert "Support using mmap when applying LoRA (#2095)" (#2206)
Has perf regression when mlock is used.

This reverts commit 2347463201.
2023-07-13 21:58:25 +08:00
Howard Su
ff5d58faec
Fix compile error on Windows CUDA (#2207) 2023-07-13 21:58:09 +08:00
Bodo Graumann
b782422a3e
devops : add missing quotes to bash script (#2193)
This prevents accidentally expanding arguments that contain spaces.
2023-07-13 16:49:14 +03:00
Shouzheng Liu
1cbf561466
metal : new q4_0 matrix-vector kernel (#2188)
Prefetch data to improve GPU utilization. ~48% faster for 33B model.
2023-07-12 23:10:55 +03:00
Georgi Gerganov
975221e954
ggml : broadcast mul_mat + conv batch support (#2199)
* ggml : broadcast mul_mat + conv batch support

* ggml : apply mul_mat broadcast fix by @jploski
2023-07-12 20:51:29 +03:00
Georgi Gerganov
4523d10d0c ggml : add ggml_pool_1d and ggml_pool_2d 2023-07-12 20:32:15 +03:00
Georgi Gerganov
680e6f9177 cuda : add gelu support 2023-07-12 20:32:15 +03:00
Howard Su
4e7464ef88
FP16 is supported in CM=6.0 (#2177)
* FP16 is supported in CM=6.0

* Building PTX code for both of 60 and 61

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2023-07-12 20:18:40 +08:00
Johannes Gäßler
2b5eb72e10
Fixed __dp4a compute capability: 6.0 -> 6.1 (#2189) 2023-07-12 10:38:52 +02:00
Georgi Gerganov
f7d278faf3
ggml : revert CUDA broadcast changes from #2183 (#2191) 2023-07-12 10:54:19 +03:00
Georgi Gerganov
20d7740a9b
ggml : sync (abort callback, mul / add broadcast, fix alibi) (#2183) 2023-07-11 22:53:34 +03:00
Spencer Sutton
5bf2a27718
ggml : remove src0 and src1 from ggml_tensor and rename opt to src (#2178)
* Add ggml changes

* Update train-text-from-scratch for change

* mpi : adapt to new ggml_tensor->src

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-11 19:31:10 +03:00
Bach Le
c9c74b4e3f
llama : add classifier-free guidance (#2135)
* Initial implementation

* Remove debug print

* Restore signature of llama_init_from_gpt_params

* Free guidance context

* Make freeing of guidance_ctx conditional

* Make Classifier-Free Guidance a sampling function

* Correct typo. CFG already means context-free grammar.

* Record sampling time in llama_sample_classifier_free_guidance

* Shift all values by the max value before applying logsoftmax

* Fix styling based on review
2023-07-11 19:18:43 +03:00
Jinwoo Jeong
3ec7e596b2
docker : add '--server' option (#2174) 2023-07-11 19:12:35 +03:00
Chad Brewbaker
917831c63a
readme : fix zig build instructions (#2171) 2023-07-11 19:03:06 +03:00
Howard Su
2347463201
Support using mmap when applying LoRA (#2095)
* Support using mmap when applying LoRA

* Fix Linux

* Update comment to reflect the support lora with mmap
2023-07-11 22:37:01 +08:00
LostRuins
bbef28218f
Possible solution to allow K-quants on models with n_vocab!=32000 (#2148)
* This allows LLAMA models that were previously incompatible with K quants to function mostly as normal. This happens when a model has a vocab != 32000, e.g 32001 which means it's not divisible by 256 or 64. Since the problematic dimensions only apply for `tok_embeddings.weight` and `output.weight` (dimentions 4096 x n_vocab), we can simply quantize these layers to Q8_0 whereas the majority of the hidden layers are still K-quanted since they have compatible dimensions.

* Fix indentation

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* As an alternative, to avoid failing on Metal due to lack of Q8_0 support, instead quantize tok_embeddings.weight to Q4_0 and retain output.weight as F16. This results in a net gain of about 55mb for a 7B model compared to previous approach, but should minimize adverse impact to model quality.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-11 22:01:08 +08:00
Evan Miller
5656d10599
mpi : add support for distributed inference via MPI (#2099)
* MPI support, first cut

* fix warnings, update README

* fixes

* wrap includes

* PR comments

* Update CMakeLists.txt

* Add GH workflow, fix test

* Add info to README

* mpi : trying to move more MPI stuff into ggml-mpi (WIP) (#2099)

* mpi : add names for layer inputs + prep ggml_mpi_graph_compute()

* mpi : move all MPI logic into ggml-mpi

Not tested yet

* mpi : various fixes - communication now works but results are wrong

* mpi : fix output tensor after MPI compute (still not working)

* mpi : fix inference

* mpi : minor

* Add OpenMPI to GH action

* [mpi] continue-on-error: true

* mpi : fix after master merge

* [mpi] Link MPI C++ libraries to fix OpenMPI

* tests : fix new llama_backend API

* [mpi] use MPI_INT32_T

* mpi : factor out recv / send in functions and reuse

* mpi : extend API to allow usage with outer backends (e.g. Metal)

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-10 18:49:56 +03:00
oobabooga
1d16309969
llama : remove "first token must be BOS" restriction (#2153) 2023-07-09 11:59:53 +03:00
Nigel Bosch
db4047ad5c
main : escape prompt prefix/suffix (#2151) 2023-07-09 11:56:18 +03:00
JackJollimore
18780e0a5e
readme : update Termux instructions (#2147)
The file pathing is significant when running models inside of Termux on Android devices. llama.cpp performance is improved with loading a .bin from the $HOME directory.
2023-07-09 11:20:43 +03:00
clyang
3bbc1a11f0
ggml : fix buidling with Intel MKL but ask for "cblas.h" issue (#2104) (#2115)
* Fix buidling with Intel MKL but ask for "cblas.h" issue

* Use angle brackets to indicate the system library
2023-07-09 11:12:20 +03:00
rankaiyx
2492a53fd0
readme : add more docs indexes (#2127)
* Update README.md to add more docs indexes

* Update README.md to add more docs indexes
2023-07-09 10:38:42 +03:00
Johannes Gäßler
64639555ff
Fixed OpenLLaMA 3b CUDA mul_mat_vec_q (#2144) 2023-07-08 20:01:44 +02:00
Johannes Gäßler
061f5f8d21
CUDA: add __restrict__ to mul mat vec kernels (#2140) 2023-07-08 00:25:15 +02:00
dylan
84525e7962
docker : add support for CUDA in docker (#1461)
Co-authored-by: canardleteer <eris.has.a.dad+github@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-07 21:25:25 +03:00
Georgi Gerganov
a7e20edf22
ci : switch threads to 1 (#2138) 2023-07-07 21:23:57 +03:00
Qingyou Meng
1d656d6360
ggml : change ggml_graph_compute() API to not require context (#1999)
* ggml_graph_compute: deprecate using ggml_context, try resolve issue #287

* rewrite: no longer consider backward compitability; plan and make_plan

* minor: rename ctx as plan; const

* remove ggml_graph_compute from tests/test-grad0.c, but current change breaks backward

* add static ggml_graph_compute_sugar()

* minor: update comments

* reusable buffers

* ggml : more consistent naming + metal fixes

* ggml : fix docs

* tests : disable grad / opt + minor naming changes

* ggml : add ggml_graph_compute_with_ctx()

- backwards compatible API
- deduplicates a lot of copy-paste

* ci : enable test-grad0

* examples : factor out plan allocation into a helper function

* llama : factor out plan stuff into a helper function

* ci : fix env

* llama : fix duplicate symbols + refactor example benchmark

* ggml : remove obsolete assert + refactor n_tasks section

* ggml : fix indentation in switch

* llama : avoid unnecessary bool

* ggml : remove comments from source file and match order in header

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-07 19:24:01 +03:00
Georgi Gerganov
7242140283 ggml : remove sched_yield() call in ggml_graph_compute_thread() (#2134) 2023-07-07 18:37:10 +03:00
Aarni Koskela
3e08ae99ce
convert.py: add mapping for safetensors bf16 (#1598)
Fixes #1473
2023-07-07 09:12:49 -04:00
Howard Su
481f793acc
Fix opencl by wrap #if-else-endif with \n (#2086) 2023-07-07 05:34:18 +02:00
Georgi Gerganov
dfd9fce6d6
ggml : fix restrict usage 2023-07-06 19:41:31 +03:00
Judd
36680f6e40
convert : update for baichuan (#2081)
1. guess n_layers;
2. relax warnings on context size;
3. add a note that its derivations are also supported.

Co-authored-by: Judd <foldl@boxvest.com>
2023-07-06 19:23:49 +03:00
tslmy
a17a2683d8
alpaca.sh : update model file name (#2074)
The original file name, `ggml-alpaca-7b-q4.bin`, implied the first-generation GGML. After the breaking changes (mentioned in https://github.com/ggerganov/llama.cpp/issues/382), `llama.cpp` requires GGML V3 now. Those model files are named `*ggmlv3*.bin`. We should change the example to an actually working model file, so that this thing is more likely to run out-of-the-box for more people, and less people would waste time downloading the old Alpaca model.
2023-07-06 19:17:50 +03:00
Tobias Lütke
31cfbb1013
Expose generation timings from server & update completions.js (#2116)
* use javascript generators as much cleaner API

Also add ways to access completion as promise and EventSource

* export llama_timings as struct and expose them in server

* update readme, update baked includes

* llama : uniform variable names + struct init

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-05 16:51:13 -04:00
Jesse Jojo Johnson
983b555e9d
Update Server Instructions (#2113)
* Update server instructions for web front end
* Update server README
* Remove duplicate OAI instructions
* Fix duplicate text

---------

Co-authored-by: Jesse Johnson <thatguy@jessejojojohnson.com>
2023-07-05 21:03:19 +03:00
Georgi Gerganov
ec326d350c
ggml : fix bug introduced in #1237 2023-07-05 20:44:11 +03:00
Georgi Gerganov
1b6efeab82
tests : fix test-grad0 2023-07-05 20:20:25 +03:00
Stephan Walter
1b107b8550
ggml : generalize quantize_fns for simpler FP16 handling (#1237)
* Generalize quantize_fns for simpler FP16 handling

* Remove call to ggml_cuda_mul_mat_get_wsize

* ci : disable FMA for mac os actions

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-07-05 19:13:06 +03:00
Jesse Jojo Johnson
8567c76b53
Update server instructions for web front end (#2103)
Co-authored-by: Jesse Johnson <thatguy@jessejojojohnson.com>
2023-07-05 18:13:35 +03:00
Johannes Gäßler
924dd22fd3
Quantized dot products for CUDA mul mat vec (#2067) 2023-07-05 14:19:42 +02:00
Howard Su
051c70dcd5
llama: Don't double count the sampling time (#2107) 2023-07-05 18:31:23 +08:00
Johannes Gäßler
9e4475f5cf
Fixed OpenCL offloading prints (#2082) 2023-07-05 08:58:05 +02:00
Nigel Bosch
7f0e9a775e
embd-input: Fix input embedding example unsigned int seed (#2105) 2023-07-05 07:33:33 +08:00
Georgi Gerganov
b472f3fca5
readme : add link web chat PR 2023-07-04 22:25:22 +03:00
Georgi Gerganov
ed9a54e512
ggml : sync latest (new ops, macros, refactoring) (#2106)
- add ggml_argmax()
- add ggml_tanh()
- add ggml_elu()
- refactor ggml_conv_1d() and variants
- refactor ggml_conv_2d() and variants
- add helper macros to reduce code duplication in ggml.c
2023-07-04 21:54:11 +03:00
jwj7140
f257fd2550
Add an API example using server.cpp similar to OAI. (#2009)
* add api_like_OAI.py
* add evaluated token count to server
* add /v1/ endpoints binding
2023-07-04 21:06:12 +03:00