* YR makefile upstream
* Create make_portable_rocm_libs.sh
* update makefile, support llama portable, ditch all unnecessary changes
* Delete make_portable_rocm_libs.sh should not be needed
* koboldcpp.sh updates
* Small rocm fixes
* ROCm is now a cuda version not a command
* Don't commit temp file
* Don't commit temp file
* 1200 has errors, removing it for now
* Only rebuild rocm with rebuild
* Update kcpp-build-release-linux.yaml
* Fix rocm filename
* ROCm Linux CI
* We need more diskspace
* Workaround for lockfile getting stuck
Why do I have to do hacks like this....
* Update kcpp-build-release-linux-rocm.yaml
* Dont apt update rocm
You don't allow us to apt update? Better not break things github!
* Container maybe?
* Turns out we aren't root, so we use sudo
* Cleanup ROCm CI PR
* Build for Runpods GPU
* We also need rocblas
* More cleanup just in case
* Update kcpp-build-release-linux-rocm.yaml
---------
Co-authored-by: LostRuins Concedo <39025047+LostRuins@users.noreply.github.com>
* Harden against conda hijacks
Turns out conda can override the location of our packages, by ignoring the conda rc files we can prevent this.
* Harden even further
Turns out not everything has a --no-rc option, now we hardcode the path.
* Remove --no-rc in run
Not supported in run, breaks the commands.
* Allow KCPP_CUDA to specify CUDA version
* CUDA 12 CI Linux
* CUDA 12 CI
* Fix KCPP_CUDA indent
* KCPP_CUDA ENV Fix
StackOverflow is bad for advice sometimes....
* Lowcase cuda on output filename
* Strip . from filename output
* .sh script V1
* koboldcpp.sh polish
* koboldcpp.sh dist generator
* Include html's in dist
* RWKV in Linux Dist
* Lower dependency requirements
* Eliminate wget dependency
* More distinct binary name
I know its technically amd64, but I don't want to cause confusion among nvidia users.
* Use System OpenCL
Unsure how this will behave in the pyinstaller build, but pocl ended up CPU only. With a bit of luck the pyinstaller uses the one from the actual system if compiled in a system without opencl, while conda now includes it for that specific system.
* Add cblas dependency
Missing this causes compile failures on some system's
* ICD workaround
Ideally we find a better solution, but conda forces ICD and needs this for the successful compile. However, pyinstaller then embeds the ICD causing it to be limited to the system it was compiled for. By temporarily removing the ICD pyinstaller can't find it and everything remains functional. Ideally we do this on a pyinstaller level, but I could not find any good options to do so yet.
* Fix & Nocuda
---------
Co-authored-by: root <root@DESKTOP-DQ1QRAG>
* .sh script V1
* koboldcpp.sh polish
* koboldcpp.sh dist generator
* Include html's in dist
* RWKV in Linux Dist
* Lower dependency requirements
* Eliminate wget dependency
* More distinct binary name
I know its technically amd64, but I don't want to cause confusion among nvidia users.
* Use System OpenCL
Unsure how this will behave in the pyinstaller build, but pocl ended up CPU only. With a bit of luck the pyinstaller uses the one from the actual system if compiled in a system without opencl, while conda now includes it for that specific system.
* Add cblas dependency
Missing this causes compile failures on some system's
* ICD workaround
Ideally we find a better solution, but conda forces ICD and needs this for the successful compile. However, pyinstaller then embeds the ICD causing it to be limited to the system it was compiled for. By temporarily removing the ICD pyinstaller can't find it and everything remains functional. Ideally we do this on a pyinstaller level, but I could not find any good options to do so yet.
---------
Co-authored-by: root <root@DESKTOP-DQ1QRAG>
