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Title: GitHub - retrage/llama.cpp: Port of Facebook's LLaMA model in C/C++ · GitHub

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https://github.com/retrage/llama.cpp#llamacpp
https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png
https://opensource.org/licenses/MIT
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Manifestohttps://github.com/ggerganov/llama.cpp/discussions/205
ggmlhttps://github.com/ggerganov/ggml
LLaMAhttps://arxiv.org/abs/2302.13971
https://github.com/retrage/llama.cpp#hot-topics
Wiki (contributions welcome)https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template
ggml-org#5631https://github.com/ggml-org/llama.cpp/pull/5631
ggml-org#5590https://github.com/ggml-org/llama.cpp/pull/5590
ggml-org#4216https://github.com/ggml-org/llama.cpp/issues/4216
Descriptionhttps://github.com/retrage/llama.cpp#description
Usagehttps://github.com/retrage/llama.cpp#usage
Get the Codehttps://github.com/retrage/llama.cpp#get-the-code
Buildhttps://github.com/retrage/llama.cpp#build
BLAS Buildhttps://github.com/retrage/llama.cpp#blas-build
Prepare and Quantizehttps://github.com/retrage/llama.cpp#prepare-and-quantize
Run the quantized modelhttps://github.com/retrage/llama.cpp#run-the-quantized-model
Memory/Disk Requirementshttps://github.com/retrage/llama.cpp#memorydisk-requirements
Quantizationhttps://github.com/retrage/llama.cpp#quantization
Interactive modehttps://github.com/retrage/llama.cpp#interactive-mode
Constrained output with grammarshttps://github.com/retrage/llama.cpp#constrained-output-with-grammars
Instruct modehttps://github.com/retrage/llama.cpp#instruct-mode
Obtaining and using the Facebook LLaMA 2 modelhttps://github.com/retrage/llama.cpp#obtaining-and-using-the-facebook-llama-2-model
Seminal papers and background on the modelshttps://github.com/retrage/llama.cpp#seminal-papers-and-background-on-the-models
Perplexity (measuring model quality)https://github.com/retrage/llama.cpp#perplexity-measuring-model-quality
Androidhttps://github.com/retrage/llama.cpp#android
Dockerhttps://github.com/retrage/llama.cpp#docker
Contributinghttps://github.com/retrage/llama.cpp#contributing
Coding guidelineshttps://github.com/retrage/llama.cpp#coding-guidelines
Docshttps://github.com/retrage/llama.cpp#docs
https://github.com/retrage/llama.cpp#description
inceptionhttps://github.com/ggerganov/llama.cpp/issues/33#issuecomment-1465108022
ggmlhttps://github.com/ggerganov/ggml
Mistral 7Bhttps://huggingface.co/mistralai/Mistral-7B-v0.1
Mixtral MoEhttps://huggingface.co/models?search=mistral-ai/Mixtral
Chinese LLaMA / Alpacahttps://github.com/ymcui/Chinese-LLaMA-Alpaca
Chinese LLaMA-2 / Alpaca-2https://github.com/ymcui/Chinese-LLaMA-Alpaca-2
Vigogne (French)https://github.com/bofenghuang/vigogne
Koalahttps://bair.berkeley.edu/blog/2023/04/03/koala/
Baichuan 1 & 2https://huggingface.co/models?search=baichuan-inc/Baichuan
derivationshttps://huggingface.co/hiyouga/baichuan-7b-sft
Aquila 1 & 2https://huggingface.co/models?search=BAAI/Aquila
Starcoder modelshttps://github.com/ggerganov/llama.cpp/pull/3187
Refacthttps://huggingface.co/smallcloudai/Refact-1_6B-fim
Persimmon 8Bhttps://github.com/ggerganov/llama.cpp/pull/3410
MPThttps://github.com/ggerganov/llama.cpp/pull/3417
Bloomhttps://github.com/ggerganov/llama.cpp/pull/3553
Yi modelshttps://huggingface.co/models?search=01-ai/Yi
StableLM modelshttps://huggingface.co/stabilityai
Deepseek modelshttps://huggingface.co/models?search=deepseek-ai/deepseek
Qwen modelshttps://huggingface.co/models?search=Qwen/Qwen
PLaMo-13Bhttps://github.com/ggerganov/llama.cpp/pull/3557
Phi modelshttps://huggingface.co/models?search=microsoft/phi
GPT-2https://huggingface.co/gpt2
Orion 14Bhttps://github.com/ggerganov/llama.cpp/pull/5118
InternLM2https://huggingface.co/models?search=internlm2
CodeShellhttps://github.com/WisdomShell/codeshell
Gemmahttps://ai.google.dev/gemma
LLaVA 1.5 modelshttps://huggingface.co/collections/liuhaotian/llava-15-653aac15d994e992e2677a7e
BakLLaVAhttps://huggingface.co/models?search=SkunkworksAI/Bakllava
Obsidianhttps://huggingface.co/NousResearch/Obsidian-3B-V0.5
ShareGPT4Vhttps://huggingface.co/models?search=Lin-Chen/ShareGPT4V
MobileVLM 1.7B/3B modelshttps://huggingface.co/models?search=mobileVLM
Yi-VLhttps://huggingface.co/models?search=Yi-VL
abetlen/llama-cpp-pythonhttps://github.com/abetlen/llama-cpp-python
go-skynet/go-llama.cpphttps://github.com/go-skynet/go-llama.cpp
withcatai/node-llama-cpphttps://github.com/withcatai/node-llama-cpp
lgrammel/modelfusionhttps://modelfusion.dev/integration/model-provider/llamacpp
tangledgroup/llama-cpp-wasmhttps://github.com/tangledgroup/llama-cpp-wasm
yoshoku/llama_cpp.rbhttps://github.com/yoshoku/llama_cpp.rb
mdrokz/rust-llama.cpphttps://github.com/mdrokz/rust-llama.cpp
utilityai/llama-cpp-rshttps://github.com/utilityai/llama-cpp-rs
SciSharp/LLamaSharphttps://github.com/SciSharp/LLamaSharp
donderom/llm4shttps://github.com/donderom/llm4s
phronmophobic/llama.cljhttps://github.com/phronmophobic/llama.clj
mybigday/llama.rnhttps://github.com/mybigday/llama.rn
kherud/java-llama.cpphttps://github.com/kherud/java-llama.cpp
deins/llama.cpp.zighttps://github.com/Deins/llama.cpp.zig
netdur/llama_cpp_darthttps://github.com/netdur/llama_cpp_dart
iohub/collamahttps://github.com/iohub/coLLaMA
janhq/janhttps://github.com/janhq/jan
nat/openplaygroundhttps://github.com/nat/openplayground
Faradayhttps://faraday.dev/
LMStudiohttps://lmstudio.ai/
LocalAIhttps://github.com/mudler/LocalAI
LostRuins/koboldcpphttps://github.com/LostRuins/koboldcpp
Mozilla-Ocho/llamafilehttps://github.com/Mozilla-Ocho/llamafile
nomic-ai/gpt4allhttps://github.com/nomic-ai/gpt4all
ollama/ollamahttps://github.com/ollama/ollama
oobabooga/text-generation-webuihttps://github.com/oobabooga/text-generation-webui
psugihara/FreeChathttps://github.com/psugihara/FreeChat
cztomsik/avahttps://github.com/cztomsik/ava
ptsochantaris/emeltalhttps://github.com/ptsochantaris/emeltal
pythops/tenerehttps://github.com/pythops/tenere
semperai/amicahttps://github.com/semperai/amica
withcatai/cataihttps://github.com/withcatai/catai
Mobile-Artificial-Intelligence/maidhttps://github.com/Mobile-Artificial-Intelligence/maid
whisper.cpphttps://github.com/ggerganov/whisper.cpp
https://github.com/retrage/llama.cpp#usage
https://github.com/retrage/llama.cpp#get-the-code
https://github.com/retrage/llama.cpp#build
w64devkithttps://github.com/skeeto/w64devkit/releases
DRM in FreeBSDhttps://wiki.freebsd.org/Graphics
https://github.com/retrage/llama.cpp#metal-build
https://github.com/retrage/llama.cpp#mpi-build
MPICHhttps://www.mpich.org
OpenMPIhttps://www.open-mpi.org
https://github.com/retrage/llama.cpp#blas-build
https://github.com/retrage/llama.cpp#accelerate-framework
https://github.com/retrage/llama.cpp#openblas
w64devkithttps://github.com/skeeto/w64devkit/releases
OpenBLAS for Windowshttps://github.com/xianyi/OpenBLAS/releases
https://github.com/retrage/llama.cpp#blis
BLIS.mdhttps://github.com/retrage/llama.cpp/blob/master/docs/BLIS.md
https://github.com/retrage/llama.cpp#sycl
llama.cpp for SYCLhttps://github.com/retrage/llama.cpp/blob/master/README-sycl.md
https://github.com/retrage/llama.cpp#intel-onemkl
llama.cpp for SYCLhttps://github.com/retrage/llama.cpp/blob/master/README-sycl.md
oneAPI-basekithttps://hub.docker.com/r/intel/oneapi-basekit
Optimizing and Running LLaMA2 on Intel® CPUhttps://www.intel.com/content/www/us/en/content-details/791610/optimizing-and-running-llama2-on-intel-cpu.html
https://github.com/retrage/llama.cpp#cublas
CUDA Toolkithttps://developer.nvidia.com/cuda-downloads
Offical Supporthttps://www.jetson-ai-lab.com/tutorial_text-generation.html
CUDA_VISIBLE_DEVICEShttps://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars
https://github.com/retrage/llama.cpp#hipblas
ROCm Quick Start (Linux)https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html
herehttps://llvm.org/docs/AMDGPUUsage.html#processors
HIP_VISIBLE_DEVICEShttps://rocm.docs.amd.com/en/latest/understand/gpu_isolation.html#hip-visible-devices
https://github.com/retrage/llama.cpp#clblast
CLBlasthttps://github.com/CNugteren/CLBlast
OpenCL SDKhttps://github.com/KhronosGroup/OpenCL-SDK
OpenCL Releaseshttps://github.com/KhronosGroup/OpenCL-SDK/releases
https://github.com/retrage/llama.cpp#installing-clblast
CLBlast Releaseshttps://github.com/CNugteren/CLBlast/releases
https://github.com/retrage/llama.cpp#building-llama-with-clblast
https://github.com/retrage/llama.cpp#running-llama-with-clblast
https://github.com/retrage/llama.cpp#vulkan
Vulkan SDKhttps://vulkan.lunarg.com/doc/view/latest/linux/getting_started_ubuntu.html
https://github.com/retrage/llama.cpp#prepare-and-quantize
Obtaining and using the Facebook LLaMA 2 modelhttps://github.com/retrage/llama.cpp#obtaining-and-using-the-facebook-llama-2-model
https://github.com/retrage/llama.cpp#run-the-quantized-model
https://github.com/retrage/llama.cpp#running-on-windows-with-prebuilt-binaries
https://github.com/retrage/llama.cpp#memorydisk-requirements
https://github.com/retrage/llama.cpp#quantization
k-quantshttps://github.com/ggerganov/llama.cpp/pull/1684
#2707https://github.com/ggerganov/llama.cpp/pull/2707
#2807https://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 matrixhttps://github.com/ggerganov/llama.cpp/pull/4861
#4872 - MoE modelshttps://github.com/ggerganov/llama.cpp/pull/4872
#4897 - 2-bit quantizationhttps://github.com/ggerganov/llama.cpp/pull/4897
#4930 - imatrix for all k-quantshttps://github.com/ggerganov/llama.cpp/pull/4930
#4951 - imatrix on the GPUhttps://github.com/ggerganov/llama.cpp/pull/4957
#4969 - imatrix for legacy quantshttps://github.com/ggerganov/llama.cpp/pull/4969
#4996 - k-qunats tuninghttps://github.com/ggerganov/llama.cpp/pull/4996
#5060 - Q3_K_XShttps://github.com/ggerganov/llama.cpp/pull/5060
#5196 - 3-bit i-quantshttps://github.com/ggerganov/llama.cpp/pull/5196
quantization tuninghttps://github.com/ggerganov/llama.cpp/pull/5320
another onehttps://github.com/ggerganov/llama.cpp/pull/5334
another onehttps://github.com/ggerganov/llama.cpp/pull/5361
https://github.com/retrage/llama.cpp#perplexity-measuring-model-quality
https://huggingface.co/docs/transformers/perplexityhttps://huggingface.co/docs/transformers/perplexity
https://paperswithcode.com/dataset/wikitext-2https://paperswithcode.com/dataset/wikitext-2
https://github.com/retrage/llama.cpp#how-to-run
https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.ziphttps://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
https://github.com/retrage/llama.cpp#interactive-mode
READMEhttps://github.com/retrage/llama.cpp/blob/master/examples/main/README.md
https://user-images.githubusercontent.com/1991296/224575029-2af3c7dc-5a65-4f64-a6bb-517a532aea38.png
https://github.com/retrage/llama.cpp#persistent-interaction
https://github.com/retrage/llama.cpp#constrained-output-with-grammars
GBNF Guidehttps://github.com/retrage/llama.cpp/blob/master/grammars/README.md
https://grammar.intrinsiclabs.ai/https://grammar.intrinsiclabs.ai/
its repohttp://github.com/intrinsiclabsai/gbnfgen
https://github.com/retrage/llama.cpp#instruct-mode
https://github.com/retrage/llama.cpp#obtaining-and-using-the-facebook-llama-2-model
Facebook's LLaMA download pagehttps://ai.meta.com/resources/models-and-libraries/llama-downloads/
TheBlokehttps://huggingface.co/TheBloke
LLaMA 2 7B basehttps://huggingface.co/TheBloke/Llama-2-7B-GGUF
LLaMA 2 13B basehttps://huggingface.co/TheBloke/Llama-2-13B-GGUF
LLaMA 2 70B basehttps://huggingface.co/TheBloke/Llama-2-70B-GGUF
LLaMA 2 7B chathttps://huggingface.co/TheBloke/Llama-2-7B-chat-GGUF
LLaMA 2 13B chathttps://huggingface.co/TheBloke/Llama-2-13B-chat-GGUF
LLaMA 2 70B chathttps://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF
https://github.com/retrage/llama.cpp#seminal-papers-and-background-on-the-models
Introducing LLaMA: A foundational, 65-billion-parameter large language modelhttps://ai.facebook.com/blog/large-language-model-llama-meta-ai/
LLaMA: Open and Efficient Foundation Language Modelshttps://arxiv.org/abs/2302.13971
Language Models are Few-Shot Learnershttps://arxiv.org/abs/2005.14165
Aligning language models to follow instructionshttps://openai.com/research/instruction-following
Training language models to follow instructions with human feedbackhttps://arxiv.org/abs/2203.02155
https://github.com/retrage/llama.cpp#android
https://github.com/retrage/llama.cpp#building-the-project-using-android-ndk
termuxhttps://termux.dev/
Android NDKhttps://developer.android.com/ndk
termuxhttps://termux.dev/
https://github.com/retrage/llama.cpp#building-the-project-using-termux-f-droid
https://github.com/CNugteren/CLBlasthttps://github.com/CNugteren/CLBlast
https://www.reddit.com/r/termux/comments/kc3ynp/opencl_working_in_termux_more_in_comments/https://www.reddit.com/r/termux/comments/kc3ynp/opencl_working_in_termux_more_in_comments/
https://github.com/retrage/llama.cpp#docker
https://github.com/retrage/llama.cpp#prerequisites
https://github.com/retrage/llama.cpp#images
.devops/https://github.com/retrage/llama.cpp/blob/master/.devops
.github/workflows/docker.ymlhttps://github.com/retrage/llama.cpp/blob/master/.github/workflows/docker.yml
https://github.com/retrage/llama.cpp#usage-1
https://github.com/retrage/llama.cpp#docker-with-cuda
nvidia-container-toolkithttps://github.com/NVIDIA/nvidia-container-toolkit
https://github.com/retrage/llama.cpp#building-locally
https://github.com/retrage/llama.cpp#usage-2
https://github.com/retrage/llama.cpp#contributing
Inference at the edgehttps://github.com/ggerganov/llama.cpp/discussions/205
Changelog podcasthttps://changelog.com/podcast/532
https://github.com/retrage/llama.cpp#coding-guidelines
good first issueshttps://github.com/ggerganov/llama.cpp/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22
z = ggml_mul_mat(ctx, x, y)https://github.com/ggerganov/llama.cpp/blob/880e352277fc017df4d5794f0c21c44e1eae2b84/ggml.h#L1058-L1064
https://github.com/retrage/llama.cpp#docs
mainhttps://github.com/retrage/llama.cpp/blob/master/examples/main/README.md
serverhttps://github.com/retrage/llama.cpp/blob/master/examples/server/README.md
jeopardyhttps://github.com/retrage/llama.cpp/blob/master/examples/jeopardy/README.md
BLIShttps://github.com/retrage/llama.cpp/blob/master/docs/BLIS.md
Performance troubleshootinghttps://github.com/retrage/llama.cpp/blob/master/docs/token_generation_performance_tips.md
GGML tips & trickshttps://github.com/ggerganov/llama.cpp/wiki/GGML-Tips-&-Tricks
GBNF grammarshttps://github.com/retrage/llama.cpp/blob/master/grammars/README.md
Readme https://github.com/retrage/llama.cpp#readme-ov-file
MIT license https://github.com/retrage/llama.cpp#MIT-1-ov-file
Please reload this pagehttps://github.com/retrage/llama.cpp
Activityhttps://github.com/retrage/llama.cpp/activity
0 forkshttps://github.com/retrage/llama.cpp/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fretrage%2Fllama.cpp&report=retrage+%28user%29
Releaseshttps://github.com/retrage/llama.cpp/releases
Packages 0https://github.com/users/retrage/packages?repo_name=llama.cpp
Please reload this pagehttps://github.com/retrage/llama.cpp
Contributorshttps://github.com/retrage/llama.cpp/graphs/contributors
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https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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