llama.cpp
https://github.com/ggerganov/llama.cpp
The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide variety of hardware - locally and in the cloud.
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Source Files
| Filename | Size | Changed |
|---|---|---|
| _service | 0000000814 814 Bytes | |
| _servicedata | 0000000240 240 Bytes | |
| llamacpp-4153.obscpio | 0096390158 91.9 MB | |
| llamacpp.changes | 0000015877 15.5 KB | |
| llamacpp.obsinfo | 0000000096 96 Bytes | |
| llamacpp.spec | 0000005816 5.68 KB |
Latest Revision
Eyad Issa (VaiTon)
committed
(revision 33)
- Update to version 4153: * ci: Update oneAPI runtime dll packaging (#10428) * GitHub: ask for more info in issue templates (#10426) * CANN: Support Ascend310P to accelerate F32 and F16 Model (#10216) * cuda : optimize argmax (#10441) * llama : handle KV shift for recurrent models (#10402) * sync : ggml * ggml/sched : do not skip views in pre-assignments * ggml-opt: fix data corruption (ggml/1022) * vulkan: predicate max operation in soft_max shaders/soft_max (#10437) * cmake: add link dependencies to cmake find pkg (#10433) * llama : add .clang-format file (#10415) * vulkan: copy iq4_nl LUT into shared memory (#10409) * vulkan: further optimize mul_mat_vec using larger loads (#10387) * update rel to 4040 (#10395) * Fix missing file renames in Makefile due to changes in commit ae8de6d50a (#10413) * add cmake rvv support (#10411) * sync : ggml * metal : fox offset integer overflows in im2col (ggml/1015) * metal : add `GGML_UNARY_OP_ELU` kernel (ggml/1018) * cmake: force MSVC compiler charset to utf-8 (#9989) * Add required ggml-base and backend libs to cmake pkg (#10407) * cuda : fix CUDA_FLAGS not being applied (#10403) * llama : add check for KV cache shifts (#10401)
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