Age | Commit message (Collapse) | Author |
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* Added Cloud-V File
* Replaced Makefile with original one
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Co-authored-by: moiz.hussain <moiz.hussain@10xengineers.ai>
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* [Docker] fix tools.sh argument passing.
This should allow passing multiple arguments to containers with
the full image that are using the tools.sh frontend.
Fix from https://github.com/ggerganov/llama.cpp/issues/2535#issuecomment-1697091734
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* Corrections and systemd units
* Missing dependency clblast
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* use hipblas based on cublas
* Update Makefile for the Cuda kernels
* Expand arch list and make it overrideable
* Fix multi GPU on multiple amd architectures with rocblas_initialize() (#5)
* add hipBLAS to README
* new build arg LLAMA_CUDA_MMQ_Y
* fix half2 decomposition
* Add intrinsics polyfills for AMD
* AMD assembly optimized __dp4a
* Allow overriding CC_TURING
* use "ROCm" instead of "CUDA"
* ignore all build dirs
* Add Dockerfiles
* fix llama-bench
* fix -nommq help for non CUDA/HIP
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Co-authored-by: YellowRoseCx <80486540+YellowRoseCx@users.noreply.github.com>
Co-authored-by: ardfork <134447697+ardfork@users.noreply.github.com>
Co-authored-by: funnbot <22226942+funnbot@users.noreply.github.com>
Co-authored-by: Engininja2 <139037756+Engininja2@users.noreply.github.com>
Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>
Co-authored-by: jammm <2500920+jammm@users.noreply.github.com>
Co-authored-by: jdecourval <7315817+jdecourval@users.noreply.github.com>
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* Create llama-cpp.srpm
* Rename llama-cpp.srpm to llama-cpp.srpm.spec
Correcting extension.
* Tested spec success.
* Update llama-cpp.srpm.spec
* Create lamma-cpp-cublas.srpm.spec
* Create lamma-cpp-clblast.srpm.spec
* Update lamma-cpp-cublas.srpm.spec
Added BuildRequires
* Moved to devops dir
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This prevents accidentally expanding arguments that contain spaces.
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Co-authored-by: canardleteer <eris.has.a.dad+github@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Modify Dockerfile default character set to improve compatibility (#1673)
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Deprecation disclaimer was added to convert-pth-to-ggml.py
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Git added to build packages for version information in docker image
Signed-off-by: Jiri Podivin <jpodivin@gmail.com>
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instead of `int` (while `int` option still being supported)
This allows the following usage:
`./quantize ggml-model-f16.bin ggml-model-q4_0.bin q4_0`
instead of:
`./quantize ggml-model-f16.bin ggml-model-q4_0.bin 2`
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after #545 we do not need torch, tqdm and requests in the dependencies
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By using `pip install torch --index-url https://download.pytorch.org/whl/cpu`
instead of `pip install torch` we can specify we want to install a CPU-only version
of PyTorch without any GPU dependencies. This reduces the size of the Docker image
from 7.32 GB to 1.62 GB
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* Add tqdm to Python requirements
* Remove torchvision torchaudio, add requests
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The readme tells people to use the command line option "-t 8", causing 8
threads to be started. On systems with fewer than 8 cores, this causes a
significant slowdown. Remove the option from the example command lines
and use /proc/cpuinfo on Linux to determine a sensible default.
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* feat: dockerize llamacpp
* feat: split build & runtime stages
* split dockerfile into main & tools
* add quantize into tool docker image
* Update .devops/tools.sh
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* add docker action pipeline
* change CI to publish at github docker registry
* fix name runs-on macOS-latest is macos-latest (lowercase)
* include docker versioned images
* fix github action docker
* fix docker.yml
* feat: include all-in-one command tool & update readme.md
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Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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