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Title: GitHub - mattsta/llama.cpp: [refactorings / cleanup] Port of Facebook's LLaMA model in C/C++ · GitHub

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Description: [refactorings / cleanup] Port of Facebook's LLaMA model in C/C++ - mattsta/llama.cpp

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Constrained output with grammarshttps://github.com/mattsta/llama.cpp#constrained-output-with-grammars
Instruction mode with Alpacahttps://github.com/mattsta/llama.cpp#instruction-mode-with-alpaca
Using OpenLLaMAhttps://github.com/mattsta/llama.cpp#using-openllama
Using GPT4Allhttps://github.com/mattsta/llama.cpp#using-gpt4all
Using Pygmalion 7B & Metharme 7Bhttps://github.com/mattsta/llama.cpp#using-pygmalion-7b--metharme-7b
Obtaining the Facebook LLaMA original model and Stanford Alpaca model datahttps://github.com/mattsta/llama.cpp#obtaining-the-facebook-llama-original-model-and-stanford-alpaca-model-data
Verifying the model fileshttps://github.com/mattsta/llama.cpp#verifying-the-model-files
Seminal papers and background on the modelshttps://github.com/mattsta/llama.cpp#seminal-papers-and-background-on-the-models
Perplexity (measuring model quality)https://github.com/mattsta/llama.cpp#perplexity-measuring-model-quality
Androidhttps://github.com/mattsta/llama.cpp#android
Dockerhttps://github.com/mattsta/llama.cpp#docker
Contributinghttps://github.com/mattsta/llama.cpp#contributing
Coding guidelineshttps://github.com/mattsta/llama.cpp#coding-guidelines
Docshttps://github.com/mattsta/llama.cpp#docs
https://github.com/mattsta/llama.cpp#description
hacked in an eveninghttps://github.com/ggerganov/llama.cpp/issues/33#issuecomment-1465108022
ggmlhttps://github.com/ggerganov/ggml
Alpacahttps://github.com/ggerganov/llama.cpp#instruction-mode-with-alpaca
GPT4Allhttps://github.com/ggerganov/llama.cpp#using-gpt4all
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
Vicunahttps://github.com/ggerganov/llama.cpp/discussions/643#discussioncomment-5533894
Koalahttps://bair.berkeley.edu/blog/2023/04/03/koala/
OpenBuddy 🐶 (Multilingual)https://github.com/OpenBuddy/OpenBuddy
Pygmalion/Metharmehttps://github.com/mattsta/llama.cpp#using-pygmalion-7b--metharme-7b
WizardLMhttps://github.com/nlpxucan/WizardLM
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
Mistral AI v0.1https://huggingface.co/mistralai/Mistral-7B-v0.1
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
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
yoshoku/llama_cpp.rbhttps://github.com/yoshoku/llama_cpp.rb
mdrokz/rust-llama.cpphttps://github.com/mdrokz/rust-llama.cpp
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
nat/openplaygroundhttps://github.com/nat/openplayground
oobabooga/text-generation-webuihttps://github.com/oobabooga/text-generation-webui
withcatai/cataihttps://github.com/withcatai/catai
whisper.cpphttps://github.com/ggerganov/whisper.cpp
https://github.com/mattsta/llama.cpp#usage
https://github.com/mattsta/llama.cpp#get-the-code
https://github.com/mattsta/llama.cpp#build
w64devkithttps://github.com/skeeto/w64devkit/releases
DRM in FreeBSDhttps://wiki.freebsd.org/Graphics
https://github.com/mattsta/llama.cpp#metal-build
https://github.com/mattsta/llama.cpp#mpi-build
MPICHhttps://www.mpich.org
OpenMPIhttps://www.open-mpi.org
https://github.com/mattsta/llama.cpp#blas-build
https://github.com/mattsta/llama.cpp#accelerate-framework
https://github.com/mattsta/llama.cpp#openblas
w64devkithttps://github.com/skeeto/w64devkit/releases
OpenBLAS for Windowshttps://github.com/xianyi/OpenBLAS/releases
https://github.com/mattsta/llama.cpp#blis
BLIS.mdhttps://github.com/mattsta/llama.cpp/blob/matt/docs/BLIS.md
https://github.com/mattsta/llama.cpp#intel-mkl
https://github.com/mattsta/llama.cpp#cublas
CUDA Toolkithttps://developer.nvidia.com/cuda-downloads
CUDA_VISIBLE_DEVICEShttps://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars
https://github.com/mattsta/llama.cpp#hipblas
ROCm Quick Start (Linux)https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html
HIP_VISIBLE_DEVICEShttps://rocm.docs.amd.com/en/latest/understand/gpu_isolation.html#hip-visible-devices
https://github.com/mattsta/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/mattsta/llama.cpp#installing-clblast
CLBlast Releaseshttps://github.com/CNugteren/CLBlast/releases
https://github.com/mattsta/llama.cpp#building-llama-with-clblast
https://github.com/mattsta/llama.cpp#running-llama-with-clblast
https://github.com/mattsta/llama.cpp#prepare-data--run
https://github.com/mattsta/llama.cpp#running-on-windows-with-prebuilt-binaries
https://github.com/mattsta/llama.cpp#memorydisk-requirements
https://github.com/mattsta/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
https://github.com/mattsta/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/mattsta/llama.cpp#how-to-run
https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip?ref=salesforce-researchhttps://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip?ref=salesforce-research
https://github.com/mattsta/llama.cpp#interactive-mode
READMEhttps://github.com/mattsta/llama.cpp/blob/matt/examples/main/README.md
https://user-images.githubusercontent.com/1991296/224575029-2af3c7dc-5a65-4f64-a6bb-517a532aea38.png
https://github.com/mattsta/llama.cpp#persistent-interaction
https://github.com/mattsta/llama.cpp#constrained-output-with-grammars
GBNF Guidehttps://github.com/mattsta/llama.cpp/blob/matt/grammars/README.md
https://grammar.intrinsiclabs.ai/https://grammar.intrinsiclabs.ai/
its repohttp://github.com/intrinsiclabsai/gbnfgen
https://github.com/mattsta/llama.cpp#instruction-mode-with-alpaca
OpenLLaMAhttps://github.com/openlm-research/open_llama
https://github.com/mattsta/llama.cpp#using-openllama
3Bhttps://huggingface.co/openlm-research/open_llama_3b
7Bhttps://huggingface.co/openlm-research/open_llama_7b
13Bhttps://huggingface.co/openlm-research/open_llama_13b
GPT4Allhttps://github.com/nomic-ai/gpt4all
https://github.com/mattsta/llama.cpp#using-gpt4all
https://github.com/mattsta/llama.cpp#using-pygmalion-7b--metharme-7b
LLaMA weightshttps://github.com/mattsta/llama.cpp#obtaining-the-facebook-llama-original-model-and-stanford-alpaca-model-data
Pygmalion 7Bhttps://huggingface.co/PygmalionAI/pygmalion-7b/
Metharme 7Bhttps://huggingface.co/PygmalionAI/metharme-7b
the latest HF convert scripthttps://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py
xor_codechttps://huggingface.co/PygmalionAI/pygmalion-7b/blob/main/xor_codec.py
bfloat16https://en.wikipedia.org/wiki/Bfloat16_floating-point_format
https://github.com/mattsta/llama.cpp#obtaining-the-facebook-llama-original-model-and-stanford-alpaca-model-data
Facebook's LLaMA repositoryhttps://github.com/facebookresearch/llama/pull/73/files
https://github.com/mattsta/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/mattsta/llama.cpp#verifying-the-model-files
sha256 checksumshttps://github.com/mattsta/llama.cpp/blob/matt/SHA256SUMS
https://github.com/mattsta/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/mattsta/llama.cpp#android
https://github.com/mattsta/llama.cpp#building-the-project-using-android-ndk
termuxhttps://termux.dev/
Android NDKhttps://developer.android.com/ndk
termuxhttps://termux.dev/
https://github.com/mattsta/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/mattsta/llama.cpp#docker
https://github.com/mattsta/llama.cpp#prerequisites
https://github.com/mattsta/llama.cpp#images
.devops/https://github.com/mattsta/llama.cpp/blob/matt/.devops
.github/workflows/docker.ymlhttps://github.com/mattsta/llama.cpp/blob/matt/.github/workflows/docker.yml
https://github.com/mattsta/llama.cpp#usage-1
https://github.com/mattsta/llama.cpp#docker-with-cuda
nvidia-container-toolkithttps://github.com/NVIDIA/nvidia-container-toolkit
https://github.com/mattsta/llama.cpp#building-locally
https://github.com/mattsta/llama.cpp#usage-2
https://github.com/mattsta/llama.cpp#contributing
Inference at the edgehttps://github.com/ggerganov/llama.cpp/discussions/205
Changelog podcasthttps://changelog.com/podcast/532
https://github.com/mattsta/llama.cpp#coding-guidelines
good first issueshttps://github.com/ggerganov/llama.cpp/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22
https://github.com/mattsta/llama.cpp#docs
mainhttps://github.com/mattsta/llama.cpp/blob/matt/examples/main/README.md
serverhttps://github.com/mattsta/llama.cpp/blob/matt/examples/server/README.md
jeopardyhttps://github.com/mattsta/llama.cpp/blob/matt/examples/jeopardy/README.md
BLIShttps://github.com/mattsta/llama.cpp/blob/matt/docs/BLIS.md
Performance troubleshootinghttps://github.com/mattsta/llama.cpp/blob/matt/docs/token_generation_performance_tips.md
GGML tips & trickshttps://github.com/ggerganov/llama.cpp/wiki/GGML-Tips-&-Tricks
GBNF grammarshttps://github.com/mattsta/llama.cpp/blob/matt/grammars/README.md
Readme https://github.com/mattsta/llama.cpp#readme-ov-file
MIT license https://github.com/mattsta/llama.cpp#MIT-1-ov-file
Please reload this pagehttps://github.com/mattsta/llama.cpp
Activityhttps://github.com/mattsta/llama.cpp/activity
0 forkshttps://github.com/mattsta/llama.cpp/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fmattsta%2Fllama.cpp&report=mattsta+%28user%29
Releaseshttps://github.com/mattsta/llama.cpp/releases
1 tags https://github.com/mattsta/llama.cpp/tags
Packages 0https://github.com/users/mattsta/packages?repo_name=llama.cpp
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Contributorshttps://github.com/mattsta/llama.cpp/graphs/contributors
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Communityhttps://github.community/
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