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feat: import qwen4exp (Qwen3.8-Flash-Next) support from upstream PR #27742 by giveen · Pull Request #324 · TheTom/llama-cpp-turboquant
github.com/TheTom/llama-cpp-turboquant/pull/324
feat: import qwen4exp (Qwen3.8-Flash-Next) support from upstream PR #27742 ...
[FR] Make GGML_CUDA_FA_ALL_QUANTS the default or add runtime warning for missing quantized FA kernels · Issue #24485 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/issues/24485
[FR] Make GGML_CUDA_FA_ALL_QUANTS the default or add runtime warning for ...
GitHub - fewtarius/CachyLLama: LLM inference in C/C++: LLM inference in C/C++. Contribute to fewtarius/CachyLLama development by creating an account on GitHub.
github.com/fewtarius/CachyLLama
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kv-cache : support attention rotation for heterogeneous iSWA by ggerganov · Pull Request #21513 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/pull/21513
kv-cache : support attention rotation for heterogeneous iSWA by ggerganov ...
ggml: add Q1_0 1-bit quantization support (CPU) by khosravipasha · Pull Request #21273 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/pull/21273
ggml: add Q1_0 1-bit quantization support (CPU) by khosravipasha · Pull ...
GitHub - TheTom/llama-cpp-turboquant: LLM inference in C/C++: LLM inference in C/C++. Contribute to TheTom/llama-cpp-turboquant development by creating an ...
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(revert) kv-cache : do not quantize SWA KV cache by ggerganov · Pull Request #21332 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/pull/21332
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llama : rotate activations for better quantization by ggerganov · Pull Request #21038 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/pull/21038
llama : rotate activations for better quantization by ggerganov · Pull ...
GitHub - jimliddle/turboquant-amd-vulkan: A TurboQuant implementation with Llama.cpp for AMD with Vulkan runtime
github.com/jimliddle/turboquant-amd-vulkan
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GitHub - MartinCrespoC/QuantumLeap---Llama.cpp-TurboQuant: 🚀 Run any LLM on any hardware. 130% faster MoE inference with ExpertFlow + TurboQuant KV compression ...
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What Google's TurboQuant can and can't do for AI's spiraling cost: Google's real-time quantization could be important for running local AI. Here's why.
zdnet.com/article/what-googles-turboquant-can-and-cant-do-for-ais-spiraling-cost/
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How do i specify which gpu to use for kv cache? How to offload expert tensors to specific gpu? · ggml-org/llama.cpp · Discussion #20642
github.com/ggml-org/llama.cpp/discussions/20642
How do i specify which gpu to use for kv cache? How to offload expert ...
What's the difference between batch-size and ubatch-size? · ggml-org/llama.cpp · Discussion #6328
github.com/ggml-org/llama.cpp/discussions/6328
What's the difference between batch-size and ubatch-size? · ...
ggml : add NVFP4 quantization type support by richarddd · Pull Request #19769 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/pull/19769
ggml : add NVFP4 quantization type support by richarddd · Pull Request ...