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3,166 Commits 359 Branches 2,870 Tags 392 MiB
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351 Commits

Author SHA1 Message Date
Marko Tasic
e4124c2477
readme : add JavaScript/Wasm repo (#5415) 2024-02-09 12:17:00 +02:00
Ebey Abraham
8c933b70c2
fix typo in readme (#5399) 
Co-authored-by: Ebey Abraham <ebeyabraham@microsoft.com>
 2024-02-07 22:11:30 +01:00
Kamil Tomšík
b906596bb7
Add Ava in the list of llama.cpp UIs (#4362) 2024-02-07 13:44:52 -05:00
Eve
ed0bf32290
readme : modernize (#5379) 
* first cleanup, update everything to Llama 2 and remove outdated content

* Delete SHA256SUMS

* make build instructions generic

* recommend Q4_K_M quantization method

* Update README.md
 2024-02-07 08:21:30 +02:00
Ben Williams
9a697d842b
readme : update ui list (#5354) 2024-02-07 08:16:48 +02:00
Kawrakow
b08f22c882
Update README.md (#5366) 
Add some links to quantization related PRs
 2024-02-06 19:00:16 +02:00
BarfingLemurs
2e9c0bd6b3
readme : add phi, orion 14b, internlm2, and yi-VL to readme (#5362) 2024-02-06 16:06:48 +02:00
Johannes Gäßler
78b00dda6c
README: updated introduction (#5343) 
* README: updated introduction

* readme : update

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-02-05 15:55:10 +01:00
chiranko
5d55b0cd82
readme : add CodeShell models to the supported models list (#5330) 2024-02-05 09:41:38 +02:00
BADR
6a66c5071a
readme : add tenere in the ui tools list (#5284) 2024-02-03 13:20:26 +02:00
Xuan Son Nguyen
6b91b1e0a9
docker : add build for SYCL, Vulkan + update readme (#5228) 
* add vulkan dockerfile

* intel dockerfile: compile sycl by default

* fix vulkan dockerfile

* add docs for vulkan

* docs: sycl build in docker

* docs: remove trailing spaces

* docs: sycl: add docker section

* docs: clarify install vulkan SDK outside docker

* sycl: use intel/oneapi-basekit docker image

* docs: correct TOC

* docs: correct docker image for Intel oneMKL
 2024-02-02 09:56:31 +02:00
Georgi Gerganov
5cb04dbc16
llama : remove LLAMA_MAX_DEVICES and LLAMA_SUPPORTS_GPU_OFFLOAD (#5240) 
* llama : remove LLAMA_MAX_DEVICES from llama.h

ggml-ci

* Update llama.cpp

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

* server : remove LLAMA_MAX_DEVICES

ggml-ci

* llama : remove LLAMA_SUPPORTS_GPU_OFFLOAD

ggml-ci

* train : remove LLAMA_SUPPORTS_GPU_OFFLOAD

* readme : add deprecation notice

* readme : change deprecation notice to "remove" and fix url

* llama : remove gpu includes from llama.h

ggml-ci

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2024-01-31 17:30:17 +02:00
Neo Zhang Jianyu
01684139c3
support SYCL backend windows build (#5208) 
* support SYCL backend windows build

* add windows build in CI

* add for win build CI

* correct install oneMKL

* fix install issue

* fix ci

* fix install cmd

* fix install cmd

* fix install cmd

* fix install cmd

* fix install cmd

* fix win build

* fix win build

* fix win build

* restore other CI part

* restore as base

* rm no new line

* fix no new line issue, add -j

* fix grammer issue

* allow to trigger manually, fix format issue

* fix format

* add newline

* fix format

* fix format

* fix format issuse

---------

Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
 2024-01-31 08:08:07 +05:30
Romain Neutron
5589921ef8
readme : minor (#5204) 
This is about tuning the code formatting of the README file
 2024-01-30 11:16:38 +02:00
Georgi Gerganov
49f44b5c55
readme : update hot topics 2024-01-30 11:14:44 +02:00
Abhilash Majumder
0f648573dd
ggml : add unified SYCL backend for Intel GPUs (#2690) 
* first update for migration

* update init_cublas

* add debug functio, commit all help code

* step 1

* step 2

* step3 add fp16, slower 31->28

* add GGML_LIST_DEVICE function

* step 5 format device and print

* step6, enhance error check, remove CUDA macro, enhance device id to fix none-zero id issue

* support main device is non-zero

* step7 add debug for code path, rm log

* step 8, rename all macro & func from cuda by sycl

* fix error of select non-zero device, format device list

* ren ggml-sycl.hpp -> ggml-sycl.h

* clear CMAKE to rm unused lib and options

* correct queue: rm dtct:get_queue

* add print tensor function to debug

* fix error: wrong result in 658746bb26702e50f2c59c0e4ada8e9da6010481

* summary dpct definition in one header file to replace folder:dpct

* refactor device log

* mv dpct definition from folder dpct to ggml-sycl.h

* update readme, refactor build script

* fix build with sycl

* set nthread=1 when sycl, increase performance

* add run script, comment debug code

* add ls-sycl-device tool

* add ls-sycl-device, rm unused files

* rm rear space

* dos2unix

* Update README_sycl.md

* fix return type

* remove sycl version from include path

* restore rm code to fix hang issue

* add syc and link for sycl readme

* rm original sycl code before refactor

* fix code err

* add know issue for pvc hang issue

* enable SYCL_F16 support

* align pr4766

* check for sycl blas, better performance

* cleanup 1

* remove extra endif

* add build&run script, clean CMakefile, update guide by review comments

* rename macro to intel hardware

* editor config format

* format fixes

* format fixes

* editor format fix

* Remove unused headers

* skip build sycl tool for other code path

* replace tab by space

* fix blas matmul function

* fix mac build

* restore hip dependency

* fix conflict

* ren as review comments

* mv internal function to .cpp file

* export funciton print_sycl_devices(), mv class dpct definition to source file

* update CI/action for sycl code, fix CI error of repeat/dup

* fix action ID format issue

* rm unused strategy

* enable llama_f16 in ci

* fix conflict

* fix build break on MacOS, due to CI of MacOS depend on external ggml, instead of internal ggml

* fix ci cases for unsupported data type

* revert unrelated changed in cuda cmake
remove useless nommq
fix typo of GGML_USE_CLBLAS_SYCL

* revert hip cmake changes

* fix indent

* add prefix in func name

* revert no mmq

* rm cpu blas duplicate

* fix no_new_line

* fix src1->type==F16 bug.

* pass batch offset for F16 src1

* fix batch error

* fix wrong code

* revert sycl checking in test-sampling

* pass void as arguments of ggml_backend_sycl_print_sycl_devices

* remove extra blank line in test-sampling

* revert setting n_threads in sycl

* implement std::isinf for icpx with fast math.

* Update ci/run.sh

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

* Update examples/sycl/run-llama2.sh

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

* Update examples/sycl/run-llama2.sh

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

* Update CMakeLists.txt

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

* Update CMakeLists.txt

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

* Update CMakeLists.txt

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

* Update CMakeLists.txt

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

* add copyright and MIT license declare

* update the cmd example

---------

Co-authored-by: jianyuzh <jianyu.zhang@intel.com>
Co-authored-by: luoyu-intel <yu.luo@intel.com>
Co-authored-by: Meng, Hengyu <hengyu.meng@intel.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-01-28 17:56:23 +02:00
Marcus Dunn
af4980bfed
readme : add link to rust bindings (#5148) 
* added link to another set of rust bindings with brief note on differences.

* fixed link name
 2024-01-28 10:30:44 +02:00
Kyle Mistele
39baaf55a1
docker : add server-first container images (#5157) 
* feat: add Dockerfiles for each platform that user ./server instead of ./main

* feat: update .github/workflows/docker.yml to build server-first docker containers

* doc: add information about running the server with Docker to README.md

* doc: add information about running with docker to the server README

* doc: update n-gpu-layers to show correct GPU usage

* fix(doc): update container tag from `server` to `server-cuda` for README example on running server container with CUDA
 2024-01-28 09:55:31 +02:00
Georgi Gerganov
aad0b01d73
readme : update hot topics 2024-01-26 10:52:33 +02:00
XiaotaoChen
fe54033b69
readme : add MobileVLM 1.7B/3B to the supported models list (#5107) 
Co-authored-by: Chenxiaotao03 <chenxiaotao03@meituan.com>
 2024-01-25 22:14:32 +02:00
adel boussaken
48e2b13372
Add a dart/flutter binding to README.md (#4882) 2024-01-20 03:05:43 -05:00
iohub
18adb4e9bb
readme : add 3rd party collama reference to UI list (#4840) 
Add a VSCode extension for llama.cpp reference to UI list
 2024-01-09 18:45:54 +02:00
Georgi Gerganov
a9a8c5de3d
readme : add link to SOTA models 2024-01-08 20:25:17 +02:00
Lars Grammel
b7e7982953
readme : add lgrammel/modelfusion JS/TS client for llama.cpp (#4814) 2024-01-07 22:24:11 +02:00
automaticcat
24a447e20a
ggml : add ggml_cpu_has_avx_vnni() (#4589) 
* feat: add avx_vnni based on intel documents

* ggml: add avx vnni based on intel document

* llama: add avx vnni information display

* docs: add more details about using oneMKL and oneAPI for intel processors

* docs: add more details about using oneMKL and oneAPI for intel processors

* docs: add more details about using oneMKL and oneAPI for intel processors

* docs: add more details about using oneMKL and oneAPI for intel processors

* docs: add more details about using oneMKL and oneAPI for intel processors

* Update ggml.c

Fix indentation upgate

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

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-12-30 10:07:48 +02:00
manikbhandari
ea5497df5d
gpt2 : Add gpt2 architecture integration (#4555) 2023-12-28 15:03:57 +01:00
Paul Tsochantaris
a206137f92
Adding Emeltal reference to UI list (#4629) 2023-12-25 18:09:53 +02:00
Shintarou Okada
753be377b6
llama : add PLaMo model (#3557) 
* add plamo mock

* add tensor loading

* plamo convert

* update norm

* able to compile

* fix norm_rms_eps hparam

* runnable

* use inp_pos

* seems ok

* update kqv code

* remove develop code

* update README

* shuffle attn_q.weight and attn_output.weight for broadcasting

* remove plamo_llm_build_kqv and use llm_build_kqv

* fix style

* update

* llama : remove obsolete KQ_scale

* plamo : fix tensor names for correct GPU offload

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-12-24 15:35:49 +02:00
FantasyGmm
a55876955b
cuda : fix jetson compile error (#4560) 
* fix old jetson compile error

* Update Makefile

* update jetson detect and cuda version detect

* update cuda marco define

* update makefile and cuda,fix some issue

* Update README.md

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

* Update Makefile

* Update README.md

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-12-22 17:11:12 +02:00
Michael Kesper
28cb35a0ec
make : add LLAMA_HIP_UMA option (#4587) 
NB: LLAMA_HIP_UMA=1 (or any value) adds MK_CPPFLAG -DGGML_HIP_UMA
 2023-12-22 10:03:25 +02:00
Deins
2bb98279c5
readme : add zig bindings (#4581) 2023-12-22 08:49:54 +02:00
Erik Garrison
0f630fbc92
cuda : ROCm AMD Unified Memory Architecture (UMA) handling (#4449) 
* AMD ROCm: handle UMA memory VRAM expansions

This resolves #2797 by allowing ROCm AMD GPU users with a UMA to
dynamically expand the VRAM allocated to the GPU.

Without this, AMD ROCm users with shared CPU/GPU memory usually are
stuck with the BIOS-set (or fixed) framebuffer VRAM, making it
impossible to load more than 1-2 layers.

Note that the model is duplicated in RAM because it's loaded once for
the CPU and then copied into a second set of allocations that are
managed by the HIP UMA system. We can fix this later.

* clarify build process for ROCm on linux with cmake

* avoid using deprecated ROCm hipMallocHost

* keep simplifying the change required for UMA

* cmake: enable UMA-compatible allocation when LLAMA_HIP_UMA=ON
 2023-12-21 21:45:32 +02:00
Georgi Gerganov
c083718c89
readme : update coding guidelines 2023-12-21 19:27:14 +02:00
Georgi Gerganov
b1306c4394
readme : update hot topics 2023-12-17 20:16:23 +02:00
BarfingLemurs
0353a18401
readme : update supported model list (#4457) 2023-12-14 09:38:49 +02:00
Georgi Gerganov
113f9942fc
readme : update hot topics 2023-12-13 14:05:38 +02:00
Georgi Gerganov
bcc0eb4591
llama : per-layer KV cache + quantum K cache (#4309) 
* per-layer KV

* remove unnecessary copies

* less code duplication, offload k and v separately

* llama : offload KV cache per-layer

* llama : offload K shift tensors

* llama : offload for rest of the model arches

* llama : enable offload debug temporarily

* llama : keep the KV related layers on the device

* llama : remove mirrors, perform Device -> Host when partial offload

* common : add command-line arg to disable KV cache offloading

* llama : update session save/load

* llama : support quantum K cache (#4312)

* llama : support quantum K cache (wip)

* metal : add F32 -> Q8_0 copy kernel

* cuda : add F32 -> Q8_0 copy kernel

ggml-ci

* cuda : use mmv kernel for quantum cache ops

* llama : pass KV cache type through API

* llama : fix build

ggml-ci

* metal : add F32 -> Q4_0 copy kernel

* metal : add F32 -> Q4_1 copy kernel

* cuda : wip

* cuda : add F32 -> Q4_0 and F32 -> Q4_1 copy kernels

* llama-bench : support type_k/type_v

* metal : use mm kernel only for quantum KV cache

* cuda : add comment

* llama : remove memory_f16 and kv_f16 flags

---------

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

* readme : add API change notice

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2023-12-07 13:03:17 +02:00
vodkaslime
524907aa76
readme : fix (#4135) 
* fix: readme

* chore: resolve comments

* chore: resolve comments
 2023-11-30 23:49:21 +02:00
Dawid Wysocki
74daabae69
readme : fix typo (#4253) 
llama.cpp uses GitHub Actions, not Gitlab Actions.
 2023-11-30 23:43:32 +02:00
Peter Sugihara
4fea3420ee
readme : add FreeChat (#4248) 2023-11-29 09:16:34 +02:00
Kasumi
0dab8cd7cc
readme : add Amica to UI list (#4230) 2023-11-27 19:39:42 +02:00
Georgi Gerganov
9656026b53
readme : update hot topics 2023-11-26 20:42:51 +02:00
Georgi Gerganov
04814e718e
readme : update hot topics 2023-11-25 12:02:13 +02:00
Aaryaman Vasishta
b35f3d0def
readme : use PATH for Windows ROCm (#4195) 
* Update README.md to use PATH for Windows ROCm

* Update README.md

* Update README.md
 2023-11-24 09:52:39 +02:00
Georgi Gerganov
d103d935c0
readme : update hot topics 2023-11-23 13:51:22 +02:00
Aaryaman Vasishta
dfc7cd48b1
readme : update ROCm Windows instructions (#4122) 
* Update README.md

* Update README.md

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

---------

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
 2023-11-20 17:02:46 +02:00
Galunid
36eed0c42c
stablelm : StableLM support (#3586) 
* Add support for stablelm-3b-4e1t
* Supports GPU offloading of (n-1) layers
 2023-11-14 11:17:12 +01:00
Georgi Gerganov
c049b37d7b
readme : update hot topics 2023-11-13 14:18:08 +02:00
Richard Kiss
532dd74e38
Fix some documentation typos/grammar mistakes (#4032) 
* typos

* Update examples/parallel/README.md

Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>

---------

Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
 2023-11-11 23:04:58 -07:00
Georgi Gerganov
224e7d5b14
readme : add notice about #3912 2023-11-02 20:44:12 +02:00
Ian Scrivener
5a42a5f8e8
readme : remove unsupported node.js library (#3703) 
- https://github.com/Atome-FE/llama-node is quite out of date
- doesn't support recent/current llama.cpp functionality
 2023-10-22 21:16:43 +03:00
Georgi Gerganov
d1031cf49c
sampling : refactor init to use llama_sampling_params (#3696) 
* sampling : refactor init to use llama_sampling_params

* llama : combine repetition, frequency and presence penalties in 1 call

* examples : remove embd-input and gptneox-wip

* sampling : rename penalty params + reduce size of "prev" vector

* sampling : add llama_sampling_print helper

* sampling : hide prev behind API and apply #3661

ggml-ci
 2023-10-20 21:07:23 +03:00
Georgi Gerganov
004797f6ac
readme : update hot topics 2023-10-18 21:44:43 +03:00
BarfingLemurs
8402566a7c
readme : update hot-topics & models, detail windows release in usage (#3615) 
* Update README.md

* Update README.md

* Update README.md

* move "Running on Windows" section below "Prepare data and run"

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-10-17 21:13:21 +03:00
ldwang
5fe268a4d9
readme : add Aquila2 links (#3610) 
Signed-off-by: ldwang <ftgreat@gmail.com>
Co-authored-by: ldwang <ftgreat@gmail.com>
 2023-10-17 18:52:33 +03:00
Ian Scrivener
f3040beaab
typo : it is --n-gpu-layers not --gpu-layers (#3592) 
fixed a typo in the MacOS Metal run doco
 2023-10-12 14:10:50 +03:00
Galunid
9f6ede19f3
Add MPT model to supported models in README.md (#3574) 2023-10-10 19:02:49 -04:00
Xingchen Song(宋星辰)
c5b49360d0
readme : add bloom (#3570) 2023-10-10 19:28:50 +03:00
BarfingLemurs
1faaae8c2b
readme : update models, cuda + ppl instructions (#3510) 2023-10-06 22:13:36 +03:00
Georgi Gerganov
beabc8cfb0
readme : add project status link 2023-10-04 16:50:44 +03:00
slaren
40e07a60f9
llama.cpp : add documentation about rope_freq_base and scale values (#3401) 
* llama.cpp : add documentation about rope_freq_base and scale values

* add notice to hot topics
 2023-09-29 18:42:32 +02:00
BarfingLemurs
0a4a4a0982
readme : update hot topics + model links (#3399) 2023-09-29 15:50:35 +03:00
Andrew Duffy
569550df20
readme : add link to grammars app (#3388) 
* Add link to grammars app per @ggernagov suggestion

Adding a sentence in the Grammars section of README to point to grammar app, per https://github.com/ggerganov/llama.cpp/discussions/2494#discussioncomment-7138211

* Update README.md
 2023-09-29 14:15:57 +03:00
Pierre Alexandre SCHEMBRI
4aea3b846e
readme : add Mistral AI release 0.1 (#3362) 2023-09-28 15:13:37 +03:00
BarfingLemurs
ffe88a36a9
readme : add some recent perplexity and bpw measurements to READMES, link for k-quants (#3340) 
* Update README.md

* Update README.md

* Update README.md with k-quants bpw measurements
 2023-09-27 18:30:36 +03:00
2f38b454
1726f9626f
docs: Fix typo CLBlast_DIR var. (#3330) 2023-09-25 20:24:52 +02:00
Lee Drake
bc9d3e3971
Update README.md (#3289) 
* Update README.md

* Update README.md

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

---------

Co-authored-by: slaren <slarengh@gmail.com>
 2023-09-21 21:00:24 +02:00
Georgi Gerganov
7eb41179ed
readme : update hot topics 2023-09-20 20:48:22 +03:00
Johannes Gäßler
111163e246
CUDA: enable peer access between devices (#2470) 2023-09-17 16:37:53 +02:00
dylan
980ab41afb
docker : add gpu image CI builds (#3103) 
Enables the GPU enabled container images to be built and pushed
alongside the CPU containers.

Co-authored-by: canardleteer <eris.has.a.dad+github@gmail.com>
 2023-09-14 19:47:00 +03:00
Ikko Eltociear Ashimine
7d99aca759
readme : fix typo (#3043) 
* readme : fix typo

acceleation -> acceleration

* Update README.md

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-09-08 19:04:32 +03:00
Georgi Gerganov
94f10b91ed
readme : update hot tpoics 2023-09-08 18:18:04 +03:00
Yui
6ff712a6d1
Update deprecated GGML TheBloke links to GGUF (#3079) 2023-09-08 12:32:55 +02:00
Georgi Gerganov
e36ecdccc8
build : on Mac OS enable Metal by default (#2901) 
* build : on Mac OS enable Metal by default

* make : try to fix build on Linux

* make : move targets back to the top

* make : fix target clean

* llama : enable GPU inference by default with Metal

* llama : fix vocab_only logic when GPU is enabled

* common : better `n_gpu_layers` assignment

* readme : update Metal instructions

* make : fix merge conflict remnants

* gitignore : metal
 2023-09-04 22:26:24 +03:00
Ido S
340af42f09
docs : add catai to README.md (#2967) 2023-09-03 08:50:51 +03:00
bandoti
52315a4216
readme : update clblast instructions (#2903) 
* Update Windows CLBlast instructions

* Update Windows CLBlast instructions

* Remove trailing whitespace
 2023-09-02 15:53:18 +03:00
Konstantin Herud
49bb9cbe0f
docs : add java-llama.cpp to README.md (#2935) 2023-09-01 16:36:14 +03:00
Gilad S
35092fb547
docs : add node-llama-cpp to README.md (#2885) 2023-08-30 11:40:12 +03:00
slaren
c03a243abf
remove outdated references to -eps and -gqa from README (#2881) 2023-08-29 23:17:34 +02:00
Jhen-Jie Hong
74e0caeb82
readme : add react-native binding (#2869) 2023-08-29 12:30:10 +03:00
Georgi Gerganov
da7455d046
readme : fix headings 2023-08-27 15:52:34 +03:00
Georgi Gerganov
c48c5bb0b0
readme : update hot topics 2023-08-27 14:44:35 +03:00
Henri Vasserman
6bbc598a63
ROCm Port (#1087) 
* use hipblas based on cublas
* Update Makefile for the Cuda kernels
* Expand arch list and make it overrideable
* Fix multi GPU on multiple amd architectures with rocblas_initialize() (#5)
* add hipBLAS to README
* new build arg LLAMA_CUDA_MMQ_Y
* fix half2 decomposition
* Add intrinsics polyfills for AMD
* AMD assembly optimized __dp4a
* Allow overriding CC_TURING
* use "ROCm" instead of "CUDA"
* ignore all build dirs
* Add Dockerfiles
* fix llama-bench
* fix -nommq help for non CUDA/HIP

---------

Co-authored-by: YellowRoseCx <80486540+YellowRoseCx@users.noreply.github.com>
Co-authored-by: ardfork <134447697+ardfork@users.noreply.github.com>
Co-authored-by: funnbot <22226942+funnbot@users.noreply.github.com>
Co-authored-by: Engininja2 <139037756+Engininja2@users.noreply.github.com>
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
Co-authored-by: jammm <2500920+jammm@users.noreply.github.com>
Co-authored-by: jdecourval <7315817+jdecourval@users.noreply.github.com>
 2023-08-25 12:09:42 +03:00
Georgi Gerganov
44d5462b5c
readme : fix link 2023-08-23 23:44:19 +03:00
Georgi Gerganov
c7868b0753
minor : fix trailing whitespace 2023-08-23 23:43:00 +03:00
Georgi Gerganov
79da24b58c
readme : update hot topics 2023-08-23 23:41:16 +03:00
Evan Jones
f5fe98d11b
docs : add grammar docs (#2701) 
* docs : add grammar docs

* tweaks to grammar guide

* rework GBNF example to be a commented grammar
 2023-08-22 21:01:57 -04:00
Georgi Gerganov
6381d4e110
gguf : new file format with flexible meta data (beta) (#2398) 
* gguf : first API pass

* gguf : read header + meta data

* gguf : read tensor info

* gguf : initial model loading - not tested

* gguf : add gguf_get_tensor_name()

* gguf : do not support passing existing ggml_context to gguf_init

* gguf : simplify gguf_get_val

* gguf : gguf.c is now part of ggml.c

* gguf : read / write sample models

* gguf : add comments

* refactor : reduce code duplication and better API (#2415)

* gguf : expose the gguf_type enum through the API for now

* gguf : add array support

* gguf.py : some code style changes

* convert.py : start a new simplified implementation by removing old stuff

* convert.py : remove GGML vocab + other obsolete stuff

* 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

* gguf : add gguf_find_key (#2438)

* gguf.cpp : find key example

* ggml.h : add gguf_find_key

* ggml.c : add gguf_find_key

* gguf : fix writing tensors

* gguf : do not hardcode tensor names to read

* gguf : write sample tensors to read

* gguf : add tokenization constants

* quick and dirty conversion example

* gguf : fix writing gguf arrays

* gguf : write tensors one by one and code reuse

* gguf : fix writing gguf arrays

* gguf : write tensors one by one

* gguf : write tensors one by one

* gguf : write tokenizer data

* gguf : upd gguf conversion script

* Update convert-llama-h5-to-gguf.py

* gguf : handle already encoded string

* ggml.h : get array str and f32

* ggml.c : get arr str and f32

* gguf.py : support any type

* Update convert-llama-h5-to-gguf.py

* gguf : fix set is not subscriptable

* gguf : update convert-llama-h5-to-gguf.py

* constants.py : add layer norm eps

* gguf.py : add layer norm eps and merges

* ggml.h : increase GGML_MAX_NAME to 64

* ggml.c : add gguf_get_arr_n

* Update convert-llama-h5-to-gguf.py

* add gptneox gguf example

* Makefile : add gptneox gguf example

* Update convert-llama-h5-to-gguf.py

* add gptneox gguf example

* Update convert-llama-h5-to-gguf.py

* Update convert-gptneox-h5-to-gguf.py

* Update convert-gptneox-h5-to-gguf.py

* Update convert-llama-h5-to-gguf.py

* gguf : support custom alignment value

* gguf : fix typo in function call

* gguf : mmap tensor data example

* fix : update convert-llama-h5-to-gguf.py

* Update convert-llama-h5-to-gguf.py

* convert-gptneox-h5-to-gguf.py : Special tokens

* gptneox-main.cpp : special tokens

* Update gptneox-main.cpp

* constants.py : special tokens

* gguf.py : accumulate kv and tensor info data + special tokens

* convert-gptneox-h5-to-gguf.py : accumulate kv and ti + special tokens

* gguf : gguf counterpart of llama-util.h

* gguf-util.h : update note

* convert-llama-h5-to-gguf.py : accumulate kv / ti + special tokens

* convert-llama-h5-to-gguf.py : special tokens

* Delete gptneox-common.cpp

* Delete gptneox-common.h

* convert-gptneox-h5-to-gguf.py : gpt2bpe tokenizer

* gptneox-main.cpp : gpt2 bpe tokenizer

* gpt2 bpe tokenizer (handles merges and unicode)

* Makefile : remove gptneox-common

* gguf.py : bytesarray for gpt2bpe tokenizer

* cmpnct_gpt2bpe.hpp : comments

* gguf.py : use custom alignment if present

* gguf : minor stuff

* Update gptneox-main.cpp

* map tensor names

* convert-gptneox-h5-to-gguf.py : map tensor names

* convert-llama-h5-to-gguf.py : map tensor names

* gptneox-main.cpp : map tensor names

* gguf : start implementing libllama in GGUF (WIP)

* gguf : start implementing libllama in GGUF (WIP)

* rm binary commited by mistake

* upd .gitignore

* gguf : calculate n_mult

* gguf :  inference with 7B model working (WIP)

* gguf : rm deprecated function

* gguf : start implementing gguf_file_saver (WIP)

* gguf : start implementing gguf_file_saver (WIP)

* gguf : start implementing gguf_file_saver (WIP)

* gguf : add gguf_get_kv_type

* gguf : add gguf_get_kv_type

* gguf : write metadata in gguf_file_saver (WIP)

* gguf : write metadata in gguf_file_saver (WIP)

* gguf : write metadata in gguf_file_saver

* gguf : rm references to old file formats

* gguf : shorter name for member variable

* gguf : rm redundant method

* gguf : get rid of n_mult, read n_ff from file

* Update gguf_tensor_map.py

* Update gptneox-main.cpp

* gguf : rm references to old file magics

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : start implementing quantization (WIP)

* gguf : quantization is working

* gguf : roper closing of file

* gguf.py : no need to convert tensors twice

* convert-gptneox-h5-to-gguf.py : no need to convert tensors twice

* convert-llama-h5-to-gguf.py : no need to convert tensors twice

* convert-gptneox-h5-to-gguf.py : simplify nbytes

* convert-llama-h5-to-gguf.py : simplify nbytes

* gptneox-main.cpp : n_layer --> n_block

* constants.py : n_layer --> n_block

* gguf.py : n_layer --> n_block

* convert-gptneox-h5-to-gguf.py : n_layer --> n_block

* convert-llama-h5-to-gguf.py : n_layer --> n_block

* gptneox-main.cpp : n_layer --> n_block

* Update gguf_tensor_map.py

* convert-gptneox-h5-to-gguf.py : load model in parts to save memory

* convert-llama-h5-to-gguf.py : load model in parts to save memory

* convert : write more metadata for LLaMA

* convert : rm quantization version

* convert-gptneox-h5-to-gguf.py : add file_type key

* gptneox-main.cpp : add file_type key

* fix conflicts

* gguf : add todos and comments

* convert-gptneox-h5-to-gguf.py : tensor name map changes

* Create gguf_namemap.py : tensor name map changes

* Delete gguf_tensor_map.py

* gptneox-main.cpp : tensor name map changes

* convert-llama-h5-to-gguf.py : fixes

* gguf.py : dont add empty strings

* simple : minor style changes

* gguf : use UNIX line ending

* Create convert-llama-7b-pth-to-gguf.py

* llama : sync gguf-llama.cpp with latest llama.cpp (#2608)

* llama : sync gguf-llama.cpp with latest llama.cpp

* minor : indentation + assert

* llama : refactor gguf_buffer and gguf_ctx_buffer

* llama : minor

* gitignore : add gptneox-main

* llama : tokenizer fixes (#2549)

* Merge tokenizer fixes into the gguf branch.

* Add test vocabularies

* convert : update convert-new.py with tokenizer fixes (#2614)

* Merge tokenizer fixes into the gguf branch.

* Add test vocabularies

* Adapt convert-new.py (and fix a clang-cl compiler error on windows)

* llama : sync gguf-llama with llama (#2613)

* llama : sync gguf-llama with llama

* tests : fix build + warnings (test-tokenizer-1 still fails)

* tests : fix wstring_convert

* convert : fix layer names

* llama : sync gguf-llama.cpp

* convert : update HF converter to new tokenizer voodoo magics

* llama : update tokenizer style

* convert-llama-h5-to-gguf.py : add token types

* constants.py : add token types

* gguf.py : add token types

* convert-llama-7b-pth-to-gguf.py : add token types

* gguf-llama.cpp :  fix n_head_kv

* convert-llama-h5-to-gguf.py : add 70b gqa support

* gguf.py : add tensor data layout

* convert-llama-h5-to-gguf.py : add tensor data layout

* convert-llama-7b-pth-to-gguf.py : add tensor data layout

* gptneox-main.cpp : add tensor data layout

* convert-llama-h5-to-gguf.py : clarify the reverse permute

* llama : refactor model loading code (#2620)

* llama : style formatting + remove helper methods

* llama : fix quantization using gguf tool

* llama : simplify gguf_file_saver

* llama : fix method names

* llama : simplify write_header()

* llama : no need to pass full file loader to the file saver

just gguf_ctx

* llama : gguf_file_saver write I32

* llama : refactor tensor names (#2622)

* gguf: update tensor names searched in quantization

* gguf : define tensor names as constants

* gguf : initial write API (not tested yet)

* gguf : write to file API (not tested)

* gguf : initial write API ready + example

* gguf : fix header write

* gguf : fixes + simplify example + add ggml_nbytes_pad()

* gguf : minor

* llama : replace gguf_file_saver with new gguf write API

* gguf : streaming support when writing files

* gguf : remove oboslete write methods

* gguf : remove obosolete gguf_get_arr_xxx API

* llama : simplify gguf_file_loader

* llama : move hparams and vocab from gguf_file_loader to llama_model_loader

* llama : merge gguf-util.h in llama.cpp

* llama : reorder definitions in .cpp to match .h

* llama : minor simplifications

* llama : refactor llama_model_loader (WIP)

wip : remove ggml_ctx from llama_model_loader

wip : merge gguf_file_loader in llama_model_loader

* llama : fix shape prints

* llama : fix Windows build + fix norm_rms_eps key

* llama : throw error on missing KV paris in model meta data

* llama : improve printing + log meta data

* llama : switch print order of meta data

---------

Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>

* gguf : deduplicate (#2629)

* gguf : better type names

* dedup : CPU + Metal is working

* ggml : fix warnings about unused results

* llama.cpp : fix line feed and compiler warning

* llama : fix strncpy warning + note token_to_str does not write null

* llama : restore the original load/save session implementation

Will migrate this to GGUF in the future

* convert-llama-h5-to-gguf.py : support alt ctx param name

* ggml : assert when using ggml_mul with non-F32 src1

* examples : dedup simple

---------

Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>

* gguf.py : merge all files in gguf.py

* convert-new.py : pick #2427 for HF 70B support

* examples/gguf : no need to keep q option for quantization any more

* llama.cpp : print actual model size

* llama.cpp : use ggml_elements()

* convert-new.py : output gguf (#2635)

* convert-new.py : output gguf (WIP)

* convert-new.py : add gguf key-value pairs

* llama : add hparams.ctx_train + no longer print ftype

* convert-new.py : minor fixes

* convert-new.py : vocab-only option should work now

* llama : fix tokenizer to use llama_char_to_byte

* tests : add new ggml-vocab-llama.gguf

* convert-new.py : tensor name mapping

* convert-new.py : add map for skipping tensor serialization

* convert-new.py : convert script now works

* gguf.py : pick some of the refactoring from #2644

* convert-new.py : minor fixes

* convert.py : update to support GGUF output

* Revert "ci : disable CI temporary to not waste energy"

This reverts commit 7e82d25f40.

* convert.py : n_head_kv optional and .gguf file extension

* convert.py : better always have n_head_kv and default it to n_head

* llama : sync with recent PRs on master

* editorconfig : ignore models folder

ggml-ci

* ci : update ".bin" to ".gguf" extension

ggml-ci

* llama : fix llama_model_loader memory leak

* gptneox : move as a WIP example

* llama : fix lambda capture

ggml-ci

* ggml : fix bug in gguf_set_kv

ggml-ci

* common.h : .bin --> .gguf

* quantize-stats.cpp : .bin --> .gguf

* convert.py : fix HF tensor permuting / unpacking

ggml-ci

* llama.cpp : typo

* llama : throw error if gguf fails to init from file

ggml-ci

* llama : fix tensor name grepping during quantization

ggml-ci

* gguf.py : write tensors in a single pass (#2644)

* gguf : single pass for writing tensors + refactoring writer

* gguf : single pass for writing tensors + refactoring writer

* gguf : single pass for writing tensors + refactoring writer

* gguf : style fixes in simple conversion script

* gguf : refactor gptneox conversion script

* gguf : rename h5 to hf (for HuggingFace)

* gguf : refactor pth to gguf conversion script

* gguf : rm file_type key and method

* gguf.py : fix vertical alignment

* gguf.py : indentation

---------

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

* convert-gptneox-hf-to-gguf.py : fixes

* gguf.py : gptneox mapping

* convert-llama-hf-to-gguf.py : fixes

* convert-llama-7b-pth-to-gguf.py : fixes

* ggml.h : reverse GGUF_MAGIC

* gguf.py : reverse GGUF_MAGIC

* test-tokenizer-0.cpp : fix warning

* llama.cpp : print kv general.name

* llama.cpp : get special token kv and linefeed token id

* llama : print number of tensors per type + print arch + style

* tests : update vocab file with new magic

* editorconfig : fix whitespaces

* llama : re-order functions

* llama : remove C++ API + reorganize common source in /common dir

* llama : minor API updates

* llama : avoid hardcoded special tokens

* llama : fix MPI build

ggml-ci

* llama : introduce enum llama_vocab_type + remove hardcoded string constants

* convert-falcon-hf-to-gguf.py : falcon HF --> gguf conversion, not tested

* falcon-main.cpp : falcon inference example

* convert-falcon-hf-to-gguf.py : remove extra kv

* convert-gptneox-hf-to-gguf.py : remove extra kv

* convert-llama-7b-pth-to-gguf.py : remove extra kv

* convert-llama-hf-to-gguf.py : remove extra kv

* gguf.py : fix for falcon 40b

* falcon-main.cpp : fix for falcon 40b

* convert-falcon-hf-to-gguf.py : update ref

* convert-falcon-hf-to-gguf.py : add tensor data layout

* cmpnct_gpt2bpe.hpp : fixes

* falcon-main.cpp : fixes

* gptneox-main.cpp : fixes

* cmpnct_gpt2bpe.hpp : remove non-general stuff

* Update examples/server/README.md

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

* cmpnct_gpt2bpe.hpp : cleanup

* convert-llama-hf-to-gguf.py : special tokens

* convert-llama-7b-pth-to-gguf.py : special tokens

* convert-permute-debug.py : permute debug print

* convert-permute-debug-master.py : permute debug for master

* convert-permute-debug.py : change permute type of attn_q

* convert.py : 70b model working (change attn_q permute)

* Delete convert-permute-debug-master.py

* Delete convert-permute-debug.py

* convert-llama-hf-to-gguf.py : fix attn_q permute

* gguf.py : fix rope scale kv

* convert-llama-hf-to-gguf.py : rope scale and added tokens

* convert-llama-7b-pth-to-gguf.py : rope scale and added tokens

* llama.cpp : use rope scale kv

* convert-llama-7b-pth-to-gguf.py : rope scale fix

* convert-llama-hf-to-gguf.py : rope scale fix

* py : fix whitespace

* gguf : add Python script to convert GGMLv3 LLaMA models to GGUF (#2682)

* First pass at converting GGMLv3 LLaMA models to GGUF

* Cleanups, better output during conversion

* Fix vocab space conversion logic

* More vocab conversion fixes

* Add description to converted GGUF files

* Improve help text, expand warning

* Allow specifying name and description for output GGUF

* Allow overriding vocab and hyperparams from original model metadata

* Use correct params override var name

* Fix wrong type size for Q8_K

Better handling of original style metadata

* Set default value for gguf add_tensor raw_shape KW arg

* llama : improve token type support (#2668)

* Merge tokenizer fixes into the gguf branch.

* Add test vocabularies

* Adapt convert-new.py (and fix a clang-cl compiler error on windows)

* Improved tokenizer test

But does it work on MacOS?

* Improve token type support

- Added @klosax code to convert.py
- Improved token type support in vocabulary

* Exclude platform dependent tests

* More sentencepiece compatibility by eliminating magic numbers

* Restored accidentally removed comment

* llama : add API for token type

ggml-ci

* tests : use new tokenizer type API (#2692)

* Merge tokenizer fixes into the gguf branch.

* Add test vocabularies

* Adapt convert-new.py (and fix a clang-cl compiler error on windows)

* Improved tokenizer test

But does it work on MacOS?

* Improve token type support

- Added @klosax code to convert.py
- Improved token type support in vocabulary

* Exclude platform dependent tests

* More sentencepiece compatibility by eliminating magic numbers

* Restored accidentally removed comment

* Improve commentary

* Use token type API in test-tokenizer-1.cpp

* py : cosmetics

* readme : add notice about new file format

ggml-ci

---------

Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
Co-authored-by: klosax <131523366+klosax@users.noreply.github.com>
Co-authored-by: goerch <jhr.walter@t-online.de>
Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
 2023-08-21 23:07:43 +03:00
Adrian
2d8b76a110
Add link to clojure bindings to Readme. (#2659) 2023-08-18 21:39:22 +02:00
Georgi Gerganov
7af633aec3
readme : incoming BREAKING CHANGE 2023-08-18 17:48:31 +03:00
mdrokz
eaf98c2649
readme : add link to Rust bindings (#2656) 2023-08-18 13:17:58 +03:00
Johannes Gäßler
0992a7b8b1
README: fix LLAMA_CUDA_MMV_Y documentation (#2647) 2023-08-17 23:57:59 +02:00
Henri Vasserman
6ddeefad9b
[Zig] Fixing Zig build and improvements (#2554) 
* Fix zig after console.o was split

* Better include and flag management

* Change LTO to option
 2023-08-17 23:11:18 +03:00
Johannes Gäßler
25d43e0eb5
CUDA: tuned mul_mat_q kernels (#2546) 2023-08-09 09:42:34 +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
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
Johannes Gäßler
0728c5a8b9
CUDA: mmq CLI option, fixed mmq build issues (#2453) 2023-07-31 15:44:35 +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
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
Johannes Gäßler
70d26ac388
Fix __dp4a documentation (#2348) 2023-07-23 17:49:06 +02:00
Jose Maldonado
91171b8072
make : fix CLBLAST compile support in FreeBSD (#2331) 
* Fix Makefile for CLBLAST compile support and instructions for compile llama.cpp FreeBSD

* More general use-case for CLBLAST support (Linux and FreeBSD)
 2023-07-23 14:52:08 +03:00
wzy
78a3d13424
flake : remove intel mkl from flake.nix due to missing files (#2277) 
NixOS's mkl misses some libraries like mkl-sdl.pc. See #2261
Currently NixOS doesn't have intel C compiler (icx, icpx). See https://discourse.nixos.org/t/packaging-intel-math-kernel-libraries-mkl/975
So remove it from flake.nix

Some minor changes:

- Change pkgs.python310 to pkgs.python3 to keep latest
- Add pkgconfig to devShells.default
- Remove installPhase because we have `cmake --install` from #2256
 2023-07-21 13:26:34 +03:00
wzy
45a1b07e9b
flake : update flake.nix (#2270) 
When `isx86_32 || isx86_64`, it will use mkl, else openblas

According to
https://discourse.nixos.org/t/rpath-of-binary-contains-a-forbidden-reference-to-build/12200/3,
add -DCMAKE_SKIP_BUILD_RPATH=ON

Fix #2261, Nix doesn't provide mkl-sdl.pc.
When we build with -DBUILD_SHARED_LIBS=ON, -DLLAMA_BLAS_VENDOR=Intel10_lp64
replace mkl-sdl.pc by mkl-dynamic-lp64-iomp.pc
 2023-07-19 10:01:55 +03:00
Jiří Podivín
27ab66e437
py : turn verify-checksum-models.py into executable (#2245) 
README.md was adjusted to reflect the change.

Signed-off-by: Jiri Podivin <jpodivin@gmail.com>
 2023-07-16 22:54:47 +03:00
Chad Brewbaker
917831c63a
readme : fix zig build instructions (#2171) 2023-07-11 19:03:06 +03:00
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
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
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
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
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
Johannes Gäßler
924dd22fd3
Quantized dot products for CUDA mul mat vec (#2067) 2023-07-05 14:19:42 +02:00
Georgi Gerganov
b472f3fca5
readme : add link web chat PR 2023-07-04 22:25:22 +03:00
Judd
471aab6e4c
convert : add support of baichuan-7b (#2055) 
Co-authored-by: Judd <foldl@boxvest.com>
 2023-07-01 20:00:25 +03:00
Roman Parykin
d38e451578
readme : add Scala 3 bindings repo (#2010) 2023-06-26 22:47:59 +03:00
Gustavo Rocha Dias
aa777abbb7
readme : LD_LIBRARY_PATH complement for some Android devices when building with CLBlast inside Termux (#2007) 
* docs - Alternative way to build at Android, with CLBlast.

* doc - LD_LIBRARY_PATH complement for some Android devices when building with CLBlast inside Termux.

* doc- fix typo
 2023-06-26 22:34:45 +03:00
Georgi Gerganov
412c60e473
readme : add link to new k-quants for visibility 2023-06-26 19:45:09 +03:00
Georgi Gerganov
447ccbe8c3
readme : add new roadmap + manifesto 2023-06-25 16:08:12 +03:00
Georgi Gerganov
66a2555ba6
readme : add Azure CI discussion link 2023-06-25 09:07:03 +03:00
Georgi Gerganov
11da1a85cd
readme : fix whitespaces 2023-06-24 13:38:18 +03:00
Alberto
235b610d65
readme : fixed termux instructions (#1973) 2023-06-24 13:32:13 +03:00
eiery
d7b7484f74
Add OpenLLaMA instructions to the README (#1954) 
* add openllama to readme
 2023-06-23 10:38:01 +02:00
Rahul Vivek Nair
fb98254f99
Fix typo in README.md (#1961) 2023-06-21 23:48:43 +02:00
Georgi Gerganov
049aa16b8c
readme : add link to p1 2023-06-20 19:05:54 +03:00
Xiake Sun
2322ec223a
Fix typo (#1949) 2023-06-20 15:42:40 +03:00
Johannes Gäßler
16b9cd1939
Convert vector to f16 for dequantize mul mat vec (#1913) 
* Convert vector to f16 for dmmv

* compile option

* Added compilation option description to README

* Changed cmake CUDA_ARCHITECTURES from "OFF" to "native"
 2023-06-19 10:23:56 +02:00
Mike
e1886cf4fe
readme : update Android build instructions (#1922) 
Add steps for using termux on android devices to prevent common errors.
 2023-06-18 11:28:26 +03:00
Johannes Gäßler
2c9380dd2f
Only one CUDA stream per device for async compute (#1898) 2023-06-17 19:15:02 +02:00
Gustavo Rocha Dias
bac19927c3
readme : alternative way to build for Android with CLBlast. (#1828) 2023-06-17 12:01:06 +03:00
Aisuko
059e99066d
doc : fix wrong address of BLIS.md (#1772) 
Signed-off-by: Aisuko <urakiny@gmail.com>
 2023-06-10 17:08:11 +03:00
Georgi Gerganov
4dc62c545d
readme : add June roadmap 2023-06-07 07:15:08 +03:00
Yuval Peled
f4c55d3bd7
docs : add performance troubleshoot + example benchmark documentation (#1674) 
* test anchor link

* test table

* add benchmarks

* Add performance troubleshoot & benchmark

* add benchmarks

* remove unneeded line

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-06-05 23:32:36 +03:00
Foul-Tarnished
f1465624c2
readme : fix typo (#1700) 
Fix a typo in a command in README.md
 2023-06-05 23:28:37 +03:00
Georgi Gerganov
827f5eda91
readme : update hot topics 2023-06-04 23:38:19 +03:00
Georgi Gerganov
ecb217db4f
llama : Metal inference (#1642) 
* mtl : export the LLaMA computation graph

* ci : disable temporary

* mtl : adapt the MNIST example as starter

* mtl : no need for mtl-export tool, add cli arg for main instead

* mtl : export just a small part of the graph for now to make it easier

* mtl : move MSL code into separate file for easy editing

* mtl : initial get_rows_q4_0 kernel

* mtl : confirmed get_rows_q4_0 is working correctly

* mtl : add rms_norm kernel + confirm working

* mtl : add mul kernel + confirm working

* mtl : initial mul_mat Q4 kernel (wrong results)

* mtl : mul_mat fixes (still wrong)

* mtl : another mul_mat Q4 (still does not work)

* mtl : working mul_mat q4

* ggml : fix handling of "view" ops in ggml_graph_import()

* mtl : add rope kernel

* mtl : add reshape and transpose handling

* ggml : store offset as opt arg for ggml_view_xd() operators

* mtl : add cpy kernel + handle view ops

* mtl : confirm f16 x f32 attention mul mat

* mtl : add scale kernel

* mtl : add diag_mask_inf kernel

* mtl : fix soft_max kernel

* ggml : update ggml_nbytes() to handle non-contiguous tensors

* mtl : verify V tensor contents

* mtl : add f32 -> f32 cpy kernel

* mtl : add silu kernel

* mtl : add non-broadcast mul kernel

* mtl : full GPU inference of the computation graph

* mtl : optimize rms_norm and soft_max kernels

* mtl : add f16 mat x f32 vec multiplication kernel

* mtl : fix bug in f16 x f32 mul mat + speed-up computation

* mtl : faster mul_mat_q4_0_f32 kernel

* mtl : fix kernel signature + roll inner loop

* mtl : more threads for rms_norm + better timing

* mtl : remove printfs from inner loop

* mtl : simplify implementation

* mtl : add save/load vocab to ggml file

* mtl : plug Metal inference into llama.cpp (very quick-n-dirty)

* mtl : make it work with main example

Lots of hacks but at least now it generates text

* mtl : preparing for merge

* mtl : clean-up ggml mtl interface + suport scratch / inplace

* mtl : remove temp / debug code

* metal : final refactoring and simplification

* Revert "ci : disable temporary"

This reverts commit 98c267fc77.

* metal : add comments

* metal : clean-up stuff, fix typos

* readme : add Metal instructions

* readme : add example for main
 2023-06-04 23:34:30 +03:00
Henri Vasserman
d8bd0013e8
Add info about CUDA_VISIBLE_DEVICES (#1682) 2023-06-03 16:35:20 +03:00
Henri Vasserman
97c9b77c4f
Add documentation about CLBlast (#1604) 
Installing, compiling and using.
 2023-05-27 18:47:55 +03:00
Evan Jones
c31bbe934b
readme : add docs for chat-persistent.sh (#1568) 
* readme : add docs for chat-persistent.sh

* Update README.md
 2023-05-24 09:24:01 +03:00
Zenix
b8ee340abe
feature : support blis and other blas implementation (#1536) 
* feature: add blis support

* feature: allow all BLA_VENDOR to be assigned in cmake arguments. align with whisper.cpp pr 927

* fix: version detection for BLA_SIZEOF_INTEGER, recover min version of cmake

* Fix typo in INTEGER

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

* Fix: blas changes on ci

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-05-20 17:58:31 +03:00
Georgi Gerganov
ea600071cb
Revert "feature : add blis and other BLAS implementation support (#1502)" 
This reverts commit 07e9ace0f9.
 2023-05-20 12:03:48 +03:00
Zenix
07e9ace0f9
feature : add blis and other BLAS implementation support (#1502) 
* feature: add blis support

* feature: allow all BLA_VENDOR to be assigned in cmake arguments. align with whisper.cpp pr 927

* fix: version detection for BLA_SIZEOF_INTEGER, recover min version of cmake

* Fix typo in INTEGER

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

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2023-05-20 12:02:48 +03:00
Georgi Gerganov
2d5db48371
ggml : use F16 instead of F32 in Q4_0, Q4_1, Q8_0 (#1508) 
* ggml : use F16 instead of F32 in Q4_0, Q4_1 and Q8_0

* llama : bump LLAMA_FILE_VERSION to 3

* cuda : update Q4 and Q8 dequantize kernels

* ggml : fix AVX dot products

* readme : update performance table + hot topics
 2023-05-19 22:17:18 +03:00
David Kennedy
79e3efb0e9
readme : adds WizardLM to the list of supported models (#1485) 2023-05-19 20:16:30 +03:00
Georgi Gerganov
cdd5350892
readme : update Q4_0 perplexities 
I think these were affected by the removal of the `round` during quantization
 2023-05-13 09:12:44 +03:00
Rinne
089b1c93ba
readme : add C#/.NET bindings repo (#1409) 2023-05-12 08:39:40 +03:00
Georgi Gerganov
b9fd7eee57
ggml : remove bit shuffling (#1405) 
* ggml : remove Q4_0 bit shufling (ARM NEON)

* ggml : remove Q4_1 bit shuffling (ARM NEON + reference)

* ggml : nibbles_from_floats() + bytes_from_nibbles() (ARM NEON)

* ggml : remove Q4_2 bit shuffling (WIP, BROKEN)

* ggml : remove Q5_0 bit shuffling (ARM NEON)

* ggml : 2x faster scalar implementations

* ggml : remove Q5_1 bit shuffling (ARM NEON + scalar)

* ggml : simplify scalar dot

* ggml : remove WASM SIMD bit shuffling + remove vzip for ARM 32-bit

* ggml : fix Q4_1 quantization

* ggml : update cuBLAS + normalize variable names

* ggml : remove Q4_2 mode

* ggml : minor formatting

* ggml : fix Q5_0 quantization

* scripts : add script for measuring the time per token

* AVX implementations (#1370)

* ggml : uniform 5th bit extraction

* llama : produce error upon loading old model files

* llama : fix model magic/version write

* ggml : speed-up Q5_0 + Q5_1 at 4 threads

* ggml : preserve old Q4 and Q5 formats

* ggml : simplify Q8_1 - no need for low / high sums anymore

* ggml : fix Q8_0 and Q8_1 rounding

* Revert "AVX implementations (#1370)"

This reverts commit 948d124837.

* ggml : fix AVX2 implementation

* sha : update hashes for 7B and 13B

* readme : update timings + remove warning banner

* llama : update v2 PR number to 1405

* ggml : fix WASM comments

* ggml : back to original bit order

* readme : add note that Q4 and Q5 have been changed

* llama : fix return for unknown version

---------

Co-authored-by: Stephan Walter <stephan@walter.name>
 2023-05-12 00:23:08 +03:00
Georgi Gerganov
56551bc11f
readme : add notice about upcoming breaking change 2023-05-08 22:52:18 +03:00
AlpinDale
fe60904eef
readme : add TOC and Pygmalion instructions (#1359) 2023-05-08 19:33:30 +03:00
Georgi Gerganov
f9a6364912
llama : require first token to be BOS (#1303) 
* llama : require first token to be BOS

* scripts : add ppl-run-all.sh

* perplexity : add BOS for each chunk

* readme : update perplexity values after BOS fix

* perplexity : add clarifying comments
 2023-05-08 17:41:54 +03:00
Johannes Gäßler
1f48b0abcf
Documented CUDA reproducibility, added warning (#1346) 2023-05-08 02:42:01 +02:00
DaniAndTheWeb
173d0e6419
makefile: automatic Arch Linux detection (#1332) 
This commit is a port of a detection method used in koboldcpp's Makefile in order to automatically set the -lcblas option on Arch Linux
 2023-05-05 23:57:14 +02:00