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Run GGUF models easily with a KoboldAI UI. One File. Zero Install.
View on GitHub ↗Locally run an Instruction-Tuned Chat-Style LLM
View on GitHub ↗KVarN, KV cache precision tail, low-bit quants in llama.cpp for longer context of better precision in the same VRAM
llama.cpp fork with TQ3_1S/4S CUDA kernels — 3.5-bit WHT quantization achieving Q4s quality at 10% smaller size. Based on RaBitQ-inspired Walsh-Hadamard transform. Enables 27B models on 16GB GPUs with 15 tok/s TG, 221 tok/s PP.
View on GitHub ↗Port of Facebook's LLaMA (Large Language Model Meta AI) in Golang with embedded C/C++
View on GitHub ↗QVAC Fabric: cross-platform LLM inference and fine-tuning, optimized for edge devices and heterogenous GPUs
View on GitHub ↗My develoopment fork of llama.cpp. For now working on RK3588 NPU and Tenstorrent backend
View on GitHub ↗After my server ui improvements were successfully merged, consider this repo a playground for experimenting, tinkering and hacking around the ggml library, especially llama.cpp – and primarily its server. The best fruits will hopefully be merged upstream – as long as they are consistent with the philosophy of llama.cpp
View on GitHub ↗the original reference implementation of a specified llama.cpp backend for Qualcomm Hexagon NPU on Android phone, history of ggml-hexagon: https://github.com/zhouwg/ggml-hexagon/discussions/18.
View on GitHub ↗Proof of concept: Exploiting temporal coherence in LLM inference-- delta encoding for KV cache compression and weight-skip prediction. Achieves F16-quality KV cache at Q4_0 compression ratios with zero perplexity loss on llama.cpp.
View on GitHub ↗VENDORIZED in lucebox-hub. Fork of llama.cpp, ggml graph for lucebox inference engine
View on GitHub ↗Thireus's fork of llama.cpp with Cuda 12.8 and 13.3 release builds and Windows patch for loading more .gguf shards + llama-sweep-bench
View on GitHub ↗HIP/ROCm fork optimized for AMD RDNA2 (gfx1030) with PrismML Q1_0_G128 1-bit quant support, RotorQuant, TurboQuant, EAGLE3 and P-EAGLE speculative decoding, and full Wave32 kernel optimizations.
View on GitHub ↗
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