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llama.h	https://github.com/dataelement/llama.cpp/blob/master/llama.h
llama.h	https://github.com/dataelement/llama.cpp/blob/master/llama.h
mypy.ini	https://github.com/dataelement/llama.cpp/blob/master/mypy.ini
mypy.ini	https://github.com/dataelement/llama.cpp/blob/master/mypy.ini
pyrightconfig.json	https://github.com/dataelement/llama.cpp/blob/master/pyrightconfig.json
pyrightconfig.json	https://github.com/dataelement/llama.cpp/blob/master/pyrightconfig.json
requirements.txt	https://github.com/dataelement/llama.cpp/blob/master/requirements.txt
requirements.txt	https://github.com/dataelement/llama.cpp/blob/master/requirements.txt
sgemm.cpp	https://github.com/dataelement/llama.cpp/blob/master/sgemm.cpp
sgemm.cpp	https://github.com/dataelement/llama.cpp/blob/master/sgemm.cpp
sgemm.h	https://github.com/dataelement/llama.cpp/blob/master/sgemm.h
sgemm.h	https://github.com/dataelement/llama.cpp/blob/master/sgemm.h
unicode-data.cpp	https://github.com/dataelement/llama.cpp/blob/master/unicode-data.cpp
unicode-data.cpp	https://github.com/dataelement/llama.cpp/blob/master/unicode-data.cpp
unicode-data.h	https://github.com/dataelement/llama.cpp/blob/master/unicode-data.h
unicode-data.h	https://github.com/dataelement/llama.cpp/blob/master/unicode-data.h
unicode.cpp	https://github.com/dataelement/llama.cpp/blob/master/unicode.cpp
unicode.cpp	https://github.com/dataelement/llama.cpp/blob/master/unicode.cpp
unicode.h	https://github.com/dataelement/llama.cpp/blob/master/unicode.h
unicode.h	https://github.com/dataelement/llama.cpp/blob/master/unicode.h
README	https://github.com/dataelement/llama.cpp
Contributing	https://github.com/dataelement/llama.cpp
License	https://github.com/dataelement/llama.cpp
Security	https://github.com/dataelement/llama.cpp
	https://github.com/dataelement/llama.cpp#llamacpp
	https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png
	https://opensource.org/licenses/MIT
	https://github.com/ggerganov/llama.cpp/actions/workflows/server.yml
	https://conan.io/center/llama-cpp
Roadmap	https://github.com/users/ggerganov/projects/7
Project status	https://github.com/ggerganov/llama.cpp/discussions/3471
Manifesto	https://github.com/ggerganov/llama.cpp/discussions/205
ggml	https://github.com/ggerganov/ggml
LLaMA	https://arxiv.org/abs/2302.13971
ggml-org#7809	https://github.com/ggml-org/llama.cpp/pull/7809
	https://github.com/dataelement/llama.cpp#recent-api-changes
ggml-org#6807	https://github.com/ggml-org/llama.cpp/pull/6807
ggml-org#6341	https://github.com/ggml-org/llama.cpp/pull/6341
ggml-org#6122	https://github.com/ggml-org/llama.cpp/pull/6122
ggml-org#6017	https://github.com/ggml-org/llama.cpp/pull/6017
ggml-org#5328	https://github.com/ggml-org/llama.cpp/pull/5328
ggml-org#5796	https://github.com/ggml-org/llama.cpp/pull/5796
ggml-org#5849	https://github.com/ggml-org/llama.cpp/pull/5849
	https://github.com/dataelement/llama.cpp#hot-topics
ggml-org#7430	https://github.com/ggml-org/llama.cpp/pull/7430
ggml-org#5021	https://github.com/ggml-org/llama.cpp/pull/5021
ggml-org#6920	https://github.com/ggml-org/llama.cpp/pull/6920
ggml-org#6387	https://github.com/ggml-org/llama.cpp/pull/6387
ggml-org#6404	https://github.com/ggml-org/llama.cpp/discussions/6404
ggml-org#6225	https://github.com/ggml-org/llama.cpp/pull/6225
ggml-org#6017	https://github.com/ggml-org/llama.cpp/pull/6017
ggml-org#5981	https://github.com/ggml-org/llama.cpp/issues/5981
ggml-org#5962	https://github.com/ggml-org/llama.cpp/discussions/5962
ggml-org#5328	https://github.com/ggml-org/llama.cpp/pull/5328
Description	https://github.com/dataelement/llama.cpp#description
Usage	https://github.com/dataelement/llama.cpp#usage
Get the Code	https://github.com/dataelement/llama.cpp#get-the-code
Build	https://github.com/dataelement/llama.cpp#build
BLAS Build	https://github.com/dataelement/llama.cpp#blas-build
Prepare and Quantize	https://github.com/dataelement/llama.cpp#prepare-and-quantize
Run the quantized model	https://github.com/dataelement/llama.cpp#run-the-quantized-model
Memory/Disk Requirements	https://github.com/dataelement/llama.cpp#memorydisk-requirements
Quantization	https://github.com/dataelement/llama.cpp#quantization
Interactive mode	https://github.com/dataelement/llama.cpp#interactive-mode
Constrained output with grammars	https://github.com/dataelement/llama.cpp#constrained-output-with-grammars
Obtaining and using the Facebook LLaMA 2 model	https://github.com/dataelement/llama.cpp#obtaining-and-using-the-facebook-llama-2-model
Seminal papers and background on the models	https://github.com/dataelement/llama.cpp#seminal-papers-and-background-on-the-models
Perplexity (measuring model quality)	https://github.com/dataelement/llama.cpp#perplexity-measuring-model-quality
Android	https://github.com/dataelement/llama.cpp#android
Docker	https://github.com/dataelement/llama.cpp#docker
Contributing	https://github.com/dataelement/llama.cpp#contributing
Coding guidelines	https://github.com/dataelement/llama.cpp#coding-guidelines
Docs	https://github.com/dataelement/llama.cpp#docs
	https://github.com/dataelement/llama.cpp#description
inception	https://github.com/ggerganov/llama.cpp/issues/33#issuecomment-1465108022
ggml	https://github.com/ggerganov/ggml
Mistral 7B	https://huggingface.co/mistralai/Mistral-7B-v0.1
Mixtral MoE	https://huggingface.co/models?search=mistral-ai/Mixtral
DBRX	https://huggingface.co/databricks/dbrx-instruct
Falcon	https://huggingface.co/models?search=tiiuae/falcon
Chinese LLaMA / Alpaca	https://github.com/ymcui/Chinese-LLaMA-Alpaca
Chinese LLaMA-2 / Alpaca-2	https://github.com/ymcui/Chinese-LLaMA-Alpaca-2
Vigogne (French)	https://github.com/bofenghuang/vigogne
Koala	https://bair.berkeley.edu/blog/2023/04/03/koala/
Baichuan 1 & 2	https://huggingface.co/models?search=baichuan-inc/Baichuan
derivations	https://huggingface.co/hiyouga/baichuan-7b-sft
Aquila 1 & 2	https://huggingface.co/models?search=BAAI/Aquila
Starcoder models	https://github.com/ggerganov/llama.cpp/pull/3187
Refact	https://huggingface.co/smallcloudai/Refact-1_6B-fim
MPT	https://github.com/ggerganov/llama.cpp/pull/3417
Bloom	https://github.com/ggerganov/llama.cpp/pull/3553
Yi models	https://huggingface.co/models?search=01-ai/Yi
StableLM models	https://huggingface.co/stabilityai
Deepseek models	https://huggingface.co/models?search=deepseek-ai/deepseek
Qwen models	https://huggingface.co/models?search=Qwen/Qwen
PLaMo-13B	https://github.com/ggerganov/llama.cpp/pull/3557
Phi models	https://huggingface.co/models?search=microsoft/phi
GPT-2	https://huggingface.co/gpt2
Orion 14B	https://github.com/ggerganov/llama.cpp/pull/5118
InternLM2	https://huggingface.co/models?search=internlm2
CodeShell	https://github.com/WisdomShell/codeshell
Gemma	https://ai.google.dev/gemma
Mamba	https://github.com/state-spaces/mamba
Grok-1	https://huggingface.co/keyfan/grok-1-hf
Xverse	https://huggingface.co/models?search=xverse
Command-R models	https://huggingface.co/models?search=CohereForAI/c4ai-command-r
SEA-LION	https://huggingface.co/models?search=sea-lion
GritLM-7B	https://huggingface.co/GritLM/GritLM-7B
GritLM-8x7B	https://huggingface.co/GritLM/GritLM-8x7B
OLMo	https://allenai.org/olmo
GPT-NeoX	https://github.com/EleutherAI/gpt-neox
Pythia	https://github.com/EleutherAI/pythia
HOWTO-add-model.md	https://github.com/dataelement/llama.cpp/blob/master/docs/HOWTO-add-model.md
LLaVA 1.5 models	https://huggingface.co/collections/liuhaotian/llava-15-653aac15d994e992e2677a7e
LLaVA 1.6 models	https://huggingface.co/collections/liuhaotian/llava-16-65b9e40155f60fd046a5ccf2
BakLLaVA	https://huggingface.co/models?search=SkunkworksAI/Bakllava
Obsidian	https://huggingface.co/NousResearch/Obsidian-3B-V0.5
ShareGPT4V	https://huggingface.co/models?search=Lin-Chen/ShareGPT4V
MobileVLM 1.7B/3B models	https://huggingface.co/models?search=mobileVLM
Yi-VL	https://huggingface.co/models?search=Yi-VL
Mini CPM	https://huggingface.co/models?search=MiniCPM
Moondream	https://huggingface.co/vikhyatk/moondream2
Bunny	https://github.com/BAAI-DCAI/Bunny
llama.cpp web server	https://github.com/dataelement/llama.cpp/blob/master/examples/server
OpenAI API	https://github.com/openai/openai-openapi
simplechat	https://github.com/dataelement/llama.cpp/blob/master/examples/server/public_simplechat
abetlen/llama-cpp-python	https://github.com/abetlen/llama-cpp-python
go-skynet/go-llama.cpp	https://github.com/go-skynet/go-llama.cpp
withcatai/node-llama-cpp	https://github.com/withcatai/node-llama-cpp
lgrammel/modelfusion	https://modelfusion.dev/integration/model-provider/llamacpp
tangledgroup/llama-cpp-wasm	https://github.com/tangledgroup/llama-cpp-wasm
ngxson/wllama	https://github.com/ngxson/wllama
yoshoku/llama_cpp.rb	https://github.com/yoshoku/llama_cpp.rb
edgenai/llama_cpp-rs	https://github.com/edgenai/llama_cpp-rs
mdrokz/rust-llama.cpp	https://github.com/mdrokz/rust-llama.cpp
utilityai/llama-cpp-rs	https://github.com/utilityai/llama-cpp-rs
SciSharp/LLamaSharp	https://github.com/SciSharp/LLamaSharp
donderom/llm4s	https://github.com/donderom/llm4s
phronmophobic/llama.clj	https://github.com/phronmophobic/llama.clj
mybigday/llama.rn	https://github.com/mybigday/llama.rn
kherud/java-llama.cpp	https://github.com/kherud/java-llama.cpp
deins/llama.cpp.zig	https://github.com/Deins/llama.cpp.zig
netdur/llama_cpp_dart	https://github.com/netdur/llama_cpp_dart
distantmagic/resonance	https://github.com/distantmagic/resonance
(more info)	https://github.com/ggerganov/llama.cpp/pull/6326
iohub/collama	https://github.com/iohub/coLLaMA
janhq/jan	https://github.com/janhq/jan
nat/openplayground	https://github.com/nat/openplayground
Faraday	https://faraday.dev/
LMStudio	https://lmstudio.ai/
Layla	https://play.google.com/store/apps/details?id=com.laylalite
LocalAI	https://github.com/mudler/LocalAI
LostRuins/koboldcpp	https://github.com/LostRuins/koboldcpp
Mozilla-Ocho/llamafile	https://github.com/Mozilla-Ocho/llamafile
nomic-ai/gpt4all	https://github.com/nomic-ai/gpt4all
ollama/ollama	https://github.com/ollama/ollama
oobabooga/text-generation-webui	https://github.com/oobabooga/text-generation-webui
psugihara/FreeChat	https://github.com/psugihara/FreeChat
cztomsik/ava	https://github.com/cztomsik/ava
ptsochantaris/emeltal	https://github.com/ptsochantaris/emeltal
pythops/tenere	https://github.com/pythops/tenere
RAGNA Desktop	https://ragna.app/
RecurseChat	https://recurse.chat/
semperai/amica	https://github.com/semperai/amica
withcatai/catai	https://github.com/withcatai/catai
Mobile-Artificial-Intelligence/maid	https://github.com/Mobile-Artificial-Intelligence/maid
Msty	https://msty.app
LLMFarm	https://github.com/guinmoon/LLMFarm?tab=readme-ov-file
KanTV	https://github.com/zhouwg/kantv?tab=readme-ov-file
Dot	https://github.com/alexpinel/Dot
MindMac	https://mindmac.app
KodiBot	https://github.com/firatkiral/kodibot
eva	https://github.com/ylsdamxssjxxdd/eva
AI Sublime Text plugin	https://github.com/yaroslavyaroslav/OpenAI-sublime-text
AIKit	https://github.com/sozercan/aikit
akx/ggify	https://github.com/akx/ggify
whisper.cpp	https://github.com/ggerganov/whisper.cpp
	https://github.com/dataelement/llama.cpp#usage
	https://github.com/dataelement/llama.cpp#get-the-code
	https://github.com/dataelement/llama.cpp#build
w64devkit	https://github.com/skeeto/w64devkit/releases
ccache	https://ccache.dev/
ccache	https://ccache.dev/
DRM in FreeBSD	https://wiki.freebsd.org/Graphics
	https://github.com/dataelement/llama.cpp#homebrew
ggml-org#7668	https://github.com/ggml-org/llama.cpp/discussions/7668
	https://github.com/dataelement/llama.cpp#nix
nixpkgs repo	https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/by-name/ll/llama-cpp/package.nix#L164
	https://github.com/dataelement/llama.cpp#flox
	https://github.com/dataelement/llama.cpp#metal-build
	https://github.com/dataelement/llama.cpp#blas-build
	https://github.com/dataelement/llama.cpp#accelerate-framework
	https://github.com/dataelement/llama.cpp#openblas
w64devkit	https://github.com/skeeto/w64devkit/releases
OpenBLAS for Windows	https://github.com/xianyi/OpenBLAS/releases
	https://github.com/dataelement/llama.cpp#blis
BLIS.md	https://github.com/dataelement/llama.cpp/blob/master/docs/BLIS.md
	https://github.com/dataelement/llama.cpp#sycl
llama.cpp for SYCL	https://github.com/dataelement/llama.cpp/blob/master/README-sycl.md
	https://github.com/dataelement/llama.cpp#intel-onemkl
llama.cpp for SYCL	https://github.com/dataelement/llama.cpp/blob/master/README-sycl.md
oneAPI-basekit	https://hub.docker.com/r/intel/oneapi-basekit
Optimizing and Running LLaMA2 on Intel® CPU	https://www.intel.com/content/www/us/en/content-details/791610/optimizing-and-running-llama2-on-intel-cpu.html
	https://github.com/dataelement/llama.cpp#cuda
CUDA Toolkit	https://developer.nvidia.com/cuda-downloads
Offical Support	https://www.jetson-ai-lab.com/tutorial_text-generation.html
CUDA_VISIBLE_DEVICES	https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars
	https://github.com/dataelement/llama.cpp#hipblas
ROCm Quick Start (Linux)	https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html#rocm-install-quick
here	https://llvm.org/docs/AMDGPUUsage.html#processors
HIP_VISIBLE_DEVICES	https://rocm.docs.amd.com/en/latest/understand/gpu_isolation.html#hip-visible-devices
	https://github.com/dataelement/llama.cpp#vulkan
Vulkan SDK	https://vulkan.lunarg.com/doc/view/latest/linux/getting_started_ubuntu.html
	https://github.com/dataelement/llama.cpp#prepare-and-quantize
GGUF-my-repo	https://huggingface.co/spaces/ggml-org/gguf-my-repo
Obtaining and using the Facebook LLaMA 2 model	https://github.com/dataelement/llama.cpp#obtaining-and-using-the-facebook-llama-2-model
	https://github.com/dataelement/llama.cpp#run-the-quantized-model
	https://github.com/dataelement/llama.cpp#running-on-windows-with-prebuilt-binaries
	https://github.com/dataelement/llama.cpp#memorydisk-requirements
	https://github.com/dataelement/llama.cpp#quantization
k-quants	https://github.com/ggerganov/llama.cpp/pull/1684
#2707	https://github.com/ggerganov/llama.cpp/pull/2707
#2807	https://github.com/ggerganov/llama.cpp/pull/2807
#4773 - 2-bit i-quants (inference)	https://github.com/ggerganov/llama.cpp/pull/4773
#4856 - 2-bit i-quants (inference)	https://github.com/ggerganov/llama.cpp/pull/4856
#4861 - importance matrix	https://github.com/ggerganov/llama.cpp/pull/4861
#4872 - MoE models	https://github.com/ggerganov/llama.cpp/pull/4872
#4897 - 2-bit quantization	https://github.com/ggerganov/llama.cpp/pull/4897
#4930 - imatrix for all k-quants	https://github.com/ggerganov/llama.cpp/pull/4930
#4951 - imatrix on the GPU	https://github.com/ggerganov/llama.cpp/pull/4957
#4969 - imatrix for legacy quants	https://github.com/ggerganov/llama.cpp/pull/4969
#4996 - k-qunats tuning	https://github.com/ggerganov/llama.cpp/pull/4996
#5060 - Q3_K_XS	https://github.com/ggerganov/llama.cpp/pull/5060
#5196 - 3-bit i-quants	https://github.com/ggerganov/llama.cpp/pull/5196
quantization tuning	https://github.com/ggerganov/llama.cpp/pull/5320
another one	https://github.com/ggerganov/llama.cpp/pull/5334
another one	https://github.com/ggerganov/llama.cpp/pull/5361
	https://github.com/dataelement/llama.cpp#perplexity-measuring-model-quality
https://huggingface.co/docs/transformers/perplexity	https://huggingface.co/docs/transformers/perplexity
https://paperswithcode.com/dataset/wikitext-2	https://paperswithcode.com/dataset/wikitext-2
	https://github.com/dataelement/llama.cpp#how-to-run
https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip	https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
	https://github.com/dataelement/llama.cpp#interactive-mode
README	https://github.com/dataelement/llama.cpp/blob/master/examples/main/README.md
	https://user-images.githubusercontent.com/1991296/224575029-2af3c7dc-5a65-4f64-a6bb-517a532aea38.png
	https://github.com/dataelement/llama.cpp#persistent-interaction
	https://github.com/dataelement/llama.cpp#constrained-output-with-grammars
GBNF Guide	https://github.com/dataelement/llama.cpp/blob/master/grammars/README.md
https://grammar.intrinsiclabs.ai/	https://grammar.intrinsiclabs.ai/
its repo	http://github.com/intrinsiclabsai/gbnfgen
	https://github.com/dataelement/llama.cpp#obtaining-and-using-the-facebook-llama-2-model
Facebook's LLaMA download page	https://ai.meta.com/resources/models-and-libraries/llama-downloads/
TheBloke	https://huggingface.co/TheBloke
LLaMA 2 7B base	https://huggingface.co/TheBloke/Llama-2-7B-GGUF
LLaMA 2 13B base	https://huggingface.co/TheBloke/Llama-2-13B-GGUF
LLaMA 2 70B base	https://huggingface.co/TheBloke/Llama-2-70B-GGUF
LLaMA 2 7B chat	https://huggingface.co/TheBloke/Llama-2-7B-chat-GGUF
LLaMA 2 13B chat	https://huggingface.co/TheBloke/Llama-2-13B-chat-GGUF
LLaMA 2 70B chat	https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF
	https://github.com/dataelement/llama.cpp#seminal-papers-and-background-on-the-models
Introducing LLaMA: A foundational, 65-billion-parameter large language model	https://ai.facebook.com/blog/large-language-model-llama-meta-ai/
LLaMA: Open and Efficient Foundation Language Models	https://arxiv.org/abs/2302.13971
Language Models are Few-Shot Learners	https://arxiv.org/abs/2005.14165
Aligning language models to follow instructions	https://openai.com/research/instruction-following
Training language models to follow instructions with human feedback	https://arxiv.org/abs/2203.02155
	https://github.com/dataelement/llama.cpp#android
	https://github.com/dataelement/llama.cpp#build-on-android-using-termux
Termux	https://github.com/termux/termux-app#installation
Get the code	https://github.com/ggerganov/llama.cpp#get-the-code
follow the Linux build instructions	https://github.com/ggerganov/llama.cpp#build
	https://github.com/dataelement/llama.cpp#building-the-project-using-android-ndk
Android NDK	https://developer.android.com/ndk
termux	https://github.com/termux/termux-app#installation
llama-2-7b-chat.Q4_K_M.gguf	https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/blob/main/llama-2-7b-chat.Q4_K_M.gguf
	https://github.com/dataelement/llama.cpp#docker
	https://github.com/dataelement/llama.cpp#prerequisites
	https://github.com/dataelement/llama.cpp#images
.devops/	https://github.com/dataelement/llama.cpp/blob/master/.devops
.github/workflows/docker.yml	https://github.com/dataelement/llama.cpp/blob/master/.github/workflows/docker.yml
	https://github.com/dataelement/llama.cpp#usage-1
	https://github.com/dataelement/llama.cpp#docker-with-cuda
nvidia-container-toolkit	https://github.com/NVIDIA/nvidia-container-toolkit
	https://github.com/dataelement/llama.cpp#building-locally
	https://github.com/dataelement/llama.cpp#usage-2
	https://github.com/dataelement/llama.cpp#contributing
Inference at the edge	https://github.com/ggerganov/llama.cpp/discussions/205
Changelog podcast	https://changelog.com/podcast/532
	https://github.com/dataelement/llama.cpp#coding-guidelines
good first issues	https://github.com/ggerganov/llama.cpp/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22
C = ggml_mul_mat(ctx, A, B)	https://github.com/ggerganov/llama.cpp/blob/880e352277fc017df4d5794f0c21c44e1eae2b84/ggml.h#L1058-L1064
	https://github.com/dataelement/llama.cpp/blob/master/media/matmul.png
	https://github.com/dataelement/llama.cpp#docs
main (cli)	https://github.com/dataelement/llama.cpp/blob/master/examples/main/README.md
server	https://github.com/dataelement/llama.cpp/blob/master/examples/server/README.md
jeopardy	https://github.com/dataelement/llama.cpp/blob/master/examples/jeopardy/README.md
BLIS	https://github.com/dataelement/llama.cpp/blob/master/docs/BLIS.md
Performance troubleshooting	https://github.com/dataelement/llama.cpp/blob/master/docs/token_generation_performance_tips.md
GGML tips & tricks	https://github.com/ggerganov/llama.cpp/wiki/GGML-Tips-&-Tricks
GBNF grammars	https://github.com/dataelement/llama.cpp/blob/master/grammars/README.md
Readme	https://github.com/dataelement/llama.cpp#readme-ov-file
MIT license	https://github.com/dataelement/llama.cpp#MIT-1-ov-file
Contributing	https://github.com/dataelement/llama.cpp#contributing-ov-file
Security policy	https://github.com/dataelement/llama.cpp#security-ov-file
Please reload this page	https://github.com/dataelement/llama.cpp
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