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Performance improvements on Arm for legacy and k-quants (#453) #282

Performance improvements on Arm for legacy and k-quants (#453)

Performance improvements on Arm for legacy and k-quants (#453) #282

Workflow file for this run

name: CI
on:
push:
branches: [ master, main, fix ]
pull_request:
branches: [ master, main, fix ]
jobs:
ubuntu-focal-make:
timeout-minutes: 60
runs-on: ubuntu-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install make
- name: Cache cosmocc toolchain
id: cache-cosmocc-toolchain
uses: actions/cache@v4
env:
cache-name: cache-cosmocc-toolchain
with:
path: |
.cosmocc
o/depend
o/depend.test
key: ${{ runner.os }}-build-${{ env.cache-name }}-${{ hashFiles('**/config.mk') }}
restore-keys: |
${{ runner.os }}-build-${{ env.cache-name }}
- name: Setup cosmocc and ape loader
run: |
sudo make cosmocc-ci PREFIX=/usr
- name: Build
run: |
sudo make -j $(nproc)
- name: Make Llamafile
run: |
cp ./models/TinyLLama-v0.1-5M-F16.gguf tinyllama.gguf
cat << EoF > .args
-m
tinyllama.gguf
...
EoF
cp o//llama.cpp/main/main \
tinyllama.llamafile
o//llamafile/zipalign -j0 \
tinyllama.llamafile \
tinyllama.gguf \
.args
- name: Execute LLM CLI CPU # GA doesn't have "support_simdgroup_reduction" for RMS_NORM :'(
run: |
./tinyllama.llamafile -e -p '## Famous Speech\n\nFour score and seven' -n 50 -ngl 0