llama-cpp
Qwen3.6-35B-A3B-DFlash-GGUF-llama.cppQwen3.6-27B-DFlash-GGUF-llama.cppQwen3-Reranker-0.6B-GGUF-llama_cppHuihui-Mistral-Small-3.2-24B-Instruct-2506-abliterated-llamacppfixed-GGUFHuihui-Mistral-Small-3.2-24B-Instruct-2506-abliterated-llamacppfixed-i1-GGUFQwen3-Reranker-4B-GGUF-llama_cppOrnith-1.0-35B-GGUF-llamacpp-tp1Qwen3-Reranker-8B-GGUF-llama_cpp
llama-cpp-wheelsIf you like this please consider liking and donating (https://buymeacoffee.com/aiencoder)
🏭 llama-cpp-python Mega-Factory Wheels
"Stop waiting for pip to compile. Just install and run."
The most complete collection of pre-built llama-cpp-python wheels in existence — 8,333 wheels across every platform, Python version, backend, and CPU optimization level.
No more cmake, gcc, or compilation hell. No more waiting 10 minutes for a build that might fail. Just find your wheel and… See the full description on the dataset page: https://huggingface.co/datasets/AIencoder/llama-cpp-wheels.llama.cpp_AlgMor24_github
ΩFFFΣLLIa • llama.cpp • AlgMor24
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High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.llama.cppversion https://git-lfs.github.com/spec/v1
oid sha256:cfc44b7ba25614df70e6b65e3341cae0310163bd32fd31a6b928a542df433faf
size 30786
llama-cpp-scripts
llama.cpp scripts
These are scripts that have helped me to manage llama.cpp, llama models, etc.
Install
Scripts are installed to ~/.local/bin.
bash install.sh
mmlu-redux-2.0-for-llama.cppMMLU-redux-v2.0 converted for the llama.cpp perplexity multiple choice tool.
Only valid entries where kept, there is no error based prompting included.
Dataset Card for MMLU-Redux-2.0
MMLU-Redux is a subset of 5,700 manually re-annotated questions across 57 MMLU subjects.
Citation
BibTeX:
@misc{gema2024mmlu,
title={Are We Done with MMLU?},
author={Aryo Pradipta Gema and Joshua Ong Jun Leang and Giwon Hong and Alessio Devoto and Alberto Carlo Maria… See the full description on the dataset page: https://huggingface.co/datasets/Green-Sky/mmlu-redux-2.0-for-llama.cpp.validation-datasets-for-llama.cppThis repository contains validation datasets for use with the perplexity tool from the llama.cpp project.
Note: PR #5047 is required to be able to use these datasets.
The simple program in demo.cpp shows how to read these files and can be used to combine two files into one.
The simple program in convert.cpp shows how to convert the data to JSON. For instance:
g++ -o convert convert.cpp
./convert arc-easy-validation.bin arc-easy-validation.json