make : deprecate (#10514)
* make : deprecate ggml-ci * ci : disable Makefile builds ggml-ci * docs : remove make references [no ci] * ci : disable swift build ggml-ci * docs : remove obsolete make references, scripts, examples ggml-ci * basic fix for compare-commits.sh * update build.md * more build.md updates * more build.md updates * more build.md updates * Update Makefile Co-authored-by: Diego Devesa <slarengh@gmail.com> --------- Co-authored-by: slaren <slarengh@gmail.com>
This commit is contained in:
Georgi Gerganov
GitHub
parent
64ed2091b2
commit
8648c52101
11 changed files with 139 additions and 1011 deletions
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@ -16,15 +16,21 @@ bench_args="${@:3}"
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rm -f llama-bench.sqlite > /dev/null
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# to test a backend, call the script with the corresponding environment variable (e.g. GGML_CUDA=1 ./scripts/compare-commits.sh ...)
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if [ -n "$GGML_CUDA" ]; then
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cmake_opts="-DGGML_CUDA=ON"
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fi
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function run {
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rm -fr build > /dev/null
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cmake -B build -S . $cmake_opts > /dev/null
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cmake --build build -t llama-bench > /dev/null
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build/bin/llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
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}
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git checkout $1 > /dev/null
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make clean > /dev/null
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make -j$(nproc) $make_opts llama-bench > /dev/null
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./llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
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run
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git checkout $2 > /dev/null
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make clean > /dev/null
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make -j$(nproc) $make_opts llama-bench > /dev/null
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./llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
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run
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./scripts/compare-llama-bench.py -b $1 -c $2
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@ -1,212 +0,0 @@
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#!/bin/bash
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#
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# Use this script only on fresh pods (runpod.io)!
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# Otherwise, it can break your environment!
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#
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if [ -z "$1" ]; then
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echo "Usage: $0 <data>"
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echo " 0: no models"
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echo " 1: tinyllama-1b"
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echo " 2: codellama-7b"
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echo " 3: codellama-13b"
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echo " 4: codellama-34b"
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echo " 5: codellama-7b-instruct"
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echo " 6: codellama-13b-instruct"
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echo " 7: codellama-34b-instruct"
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exit 1
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fi
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set -x
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# setup deps
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apt-get update
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apt-get install -y git-lfs cmake cmake-curses-gui vim ruby
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git-lfs install
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if [ ! -d "/workspace" ]; then
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ln -sfn $(pwd) /workspace
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fi
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# download data
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cd /workspace
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# this is useful to git clone repos without doubling the disk size due to .git
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git clone https://github.com/iboB/git-lfs-download
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ln -sfn /workspace/git-lfs-download/git-lfs-download /usr/local/bin/git-lfs-download
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# llama.cpp
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cd /workspace
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git clone https://github.com/ggerganov/llama.cpp
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cd llama.cpp
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GGML_CUDA=1 make -j
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ln -sfn /workspace/TinyLlama-1.1B-Chat-v0.3 ./models/tinyllama-1b
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ln -sfn /workspace/CodeLlama-7b-hf ./models/codellama-7b
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ln -sfn /workspace/CodeLlama-13b-hf ./models/codellama-13b
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ln -sfn /workspace/CodeLlama-34b-hf ./models/codellama-34b
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ln -sfn /workspace/CodeLlama-7b-Instruct-hf ./models/codellama-7b-instruct
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ln -sfn /workspace/CodeLlama-13b-Instruct-hf ./models/codellama-13b-instruct
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ln -sfn /workspace/CodeLlama-34b-Instruct-hf ./models/codellama-34b-instruct
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pip install -r requirements.txt
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# cmake
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cd /workspace/llama.cpp
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mkdir build-cublas
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cd build-cublas
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cmake -DGGML_CUDA=1 ../
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make -j
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if [ "$1" -eq "0" ]; then
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exit 0
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fi
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# more models
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if [ "$1" -eq "1" ]; then
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cd /workspace
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git-lfs-download https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.3
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cd /workspace/llama.cpp
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python3 examples/convert_legacy_llama.py ./models/tinyllama-1b --outfile ./models/tinyllama-1b/ggml-model-f16.gguf --outtype f16
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./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_0.gguf q4_0
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./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_k.gguf q4_k
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./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q8_0.gguf q8_0
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fi
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if [ "$1" -eq "2" ]; then
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cd /workspace
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git-lfs-download https://huggingface.co/codellama/CodeLlama-7b-hf --without *safetensors*
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rm -v ./CodeLlama-7b-hf/*safetensors*
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cd /workspace/llama.cpp
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python3 examples/convert_legacy_llama.py ./models/codellama-7b --outfile ./models/codellama-7b/ggml-model-f16.gguf --outtype f16
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./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_0.gguf q4_0
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./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_k.gguf q4_k
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./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q8_0.gguf q8_0
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fi
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if [ "$1" -eq "3" ]; then
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cd /workspace
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git-lfs-download https://huggingface.co/codellama/CodeLlama-13b-hf --without *safetensors*
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rm -v ./CodeLlama-13b-hf/*safetensors*
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cd /workspace/llama.cpp
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python3 examples/convert_legacy_llama.py ./models/codellama-13b --outfile ./models/codellama-13b/ggml-model-f16.gguf --outtype f16
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./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_0.gguf q4_0
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./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_k.gguf q4_k
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./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q8_0.gguf q8_0
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fi
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if [ "$1" -eq "4" ]; then
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cd /workspace
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git-lfs-download https://huggingface.co/codellama/CodeLlama-34b-hf --without *safetensors*
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rm -v ./CodeLlama-34b-hf/*safetensors*
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cd /workspace/llama.cpp
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python3 examples/convert_legacy_llama.py ./models/codellama-34b --outfile ./models/codellama-34b/ggml-model-f16.gguf --outtype f16
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./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_0.gguf q4_0
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./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_k.gguf q4_k
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./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q8_0.gguf q8_0
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fi
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if [ "$1" -eq "5" ]; then
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cd /workspace
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git-lfs-download https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf --without *safetensors*
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rm -v ./CodeLlama-7b-Instruct-hf/*safetensors*
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cd /workspace/llama.cpp
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python3 examples/convert_legacy_llama.py ./models/codellama-7b-instruct --outfile ./models/codellama-7b-instruct/ggml-model-f16.gguf --outtype f16
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./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_0.gguf q4_0
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./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_k.gguf q4_k
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./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q8_0.gguf q8_0
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fi
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if [ "$1" -eq "6" ]; then
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cd /workspace
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git-lfs-download https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf --without *safetensors*
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rm -v ./CodeLlama-13b-Instruct-hf/*safetensors*
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cd /workspace/llama.cpp
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python3 examples/convert_legacy_llama.py ./models/codellama-13b-instruct --outfile ./models/codellama-13b-instruct/ggml-model-f16.gguf --outtype f16
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./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_0.gguf q4_0
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./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_k.gguf q4_k
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./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q8_0.gguf q8_0
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fi
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if [ "$1" -eq "7" ]; then
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cd /workspace
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git-lfs-download https://huggingface.co/codellama/CodeLlama-34b-Instruct-hf --without *safetensors*
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rm -v ./CodeLlama-34b-Instruct-hf/*safetensors*
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cd /workspace/llama.cpp
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python3 examples/convert_legacy_llama.py ./models/codellama-34b-instruct --outfile ./models/codellama-34b-instruct/ggml-model-f16.gguf --outtype f16
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./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_0.gguf q4_0
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./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_k.gguf q4_k
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./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q8_0.gguf q8_0
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fi
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if [ "$1" -eq "1" ]; then
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# perf + perplexity
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cd /workspace/llama.cpp/build-cublas
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make -j && ../scripts/run-all-perf.sh tinyllama-1b "f16" "-ngl 99 -t 1 -p 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,32,64,128,256,512,1024,2048 -n 128"
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../scripts/get-wikitext-2.sh
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unzip wikitext-2-raw-v1.zip
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make -j && ./bin/llama-perplexity -m ../models/tinyllama-1b/ggml-model-f16.gguf -f ./wikitext-2-raw/wiki.test.raw -ngl 100 --chunks 32
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# batched
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cd /workspace/llama.cpp
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GGML_CUDA=1 make -j && ./llama-batched ./models/tinyllama-1b/ggml-model-f16.gguf "Hello, my name is" 8 128 999
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# batched-bench
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cd /workspace/llama.cpp
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GGML_CUDA=1 make -j && ./llama-batched-bench ./models/tinyllama-1b/ggml-model-f16.gguf 4608 1 99 0 512 128 1,2,3,4,5,6,7,8,16,32
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# parallel
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cd /workspace/llama.cpp
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GGML_CUDA=1 make -j && ./llama-parallel -m ./models/tinyllama-1b/ggml-model-f16.gguf -t 1 -ngl 100 -c 4096 -b 512 -s 1 -np 8 -ns 128 -n 100 -cb
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fi
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# speculative
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#if [ "$1" -eq "7" ]; then
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# cd /workspace/llama.cpp
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#
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# GGML_CUDA=1 make -j && ./llama-speculative -m ./models/codellama-34b-instruct/ggml-model-f16.gguf -md ./models/codellama-7b-instruct/ggml-model-q4_0.gguf -p "# Dijkstra's shortest path algorithm in Python (4 spaces indentation) + complexity analysis:\n\n" -e -ngl 999 -ngld 999 -t 4 -n 512 -c 4096 -s 21 --draft 16 -np 1 --temp 0.0
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#fi
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# more benches
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#GGML_CUDA=1 make -j && ./llama-batched-bench ./models/codellama-7b/ggml-model-q4_k.gguf 4096 1 99 1 512,3200 128,128,800 1
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#GGML_CUDA=1 make -j && ./llama-batched-bench ./models/codellama-13b/ggml-model-q4_k.gguf 4096 1 99 1 512,3200 128,128,800 1
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@ -1,418 +0,0 @@
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#!/bin/bash
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#
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# Helper script for deploying llama.cpp server with a single Bash command
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#
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# - Works on Linux and macOS
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# - Supports: CPU, CUDA, Metal
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# - Can run all GGUF models from HuggingFace
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# - Can serve requests in parallel
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# - Always builds latest llama.cpp from GitHub
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#
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# Limitations
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#
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# - Chat templates are poorly supported (base models recommended)
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# - Might be unstable!
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#
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# Usage:
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# ./server-llm.sh [--port] [--repo] [--wtype] [--backend] [--gpu-id] [--n-parallel] [--n-kv] [--verbose] [-non-interactive]
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#
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# --port: port number, default is 8888
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# --repo: path to a repo containing GGUF model files
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# --wtype: weights type (f16, q8_0, q4_0, q4_1), default is user-input
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# --backend: cpu, cuda, metal, depends on the OS
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# --gpu-id: gpu id, default is 0
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# --n-parallel: number of parallel requests, default is 8
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# --n-kv: KV cache size, default is 4096
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# --verbose: verbose output
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# --non-interactive: run without asking a permission to run
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#
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# Example:
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#
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# bash -c "$(curl -s https://ggml.ai/server-llm.sh)"
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#
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set -e
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# required utils: curl, git, make
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if ! command -v curl &> /dev/null; then
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printf "[-] curl not found\n"
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exit 1
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fi
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if ! command -v git &> /dev/null; then
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printf "[-] git not found\n"
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exit 1
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fi
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if ! command -v make &> /dev/null; then
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printf "[-] make not found\n"
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exit 1
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fi
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# parse arguments
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is_interactive=1
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port=8888
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repo=""
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wtype=""
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backend="cpu"
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# if macOS, use metal backend by default
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if [[ "$OSTYPE" == "darwin"* ]]; then
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backend="metal"
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elif command -v nvcc &> /dev/null; then
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backend="cuda"
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fi
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gpu_id=0
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n_parallel=8
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n_kv=4096
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verbose=0
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function print_usage {
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printf "Usage:\n"
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printf " ./server-llm.sh [--port] [--repo] [--wtype] [--backend] [--gpu-id] [--n-parallel] [--n-kv] [--verbose] [-non-interactive]\n\n"
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printf " --port: port number, default is 8888\n"
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printf " --repo: path to a repo containing GGUF model files\n"
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printf " --wtype: weights type (f16, q8_0, q4_0, q4_1), default is user-input\n"
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printf " --backend: cpu, cuda, metal, depends on the OS\n"
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||||
printf " --gpu-id: gpu id, default is 0\n"
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||||
printf " --n-parallel: number of parallel requests, default is 8\n"
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||||
printf " --n-kv: KV cache size, default is 4096\n"
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||||
printf " --verbose: verbose output\n\n"
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||||
printf " --non-interactive: run without asking a permission to run\n"
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||||
printf "Example:\n\n"
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||||
printf ' bash -c "$(curl -s https://ggml.ai/server-llm.sh)"\n\n'
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||||
}
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||||
|
||||
while [[ $# -gt 0 ]]; do
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||||
key="$1"
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||||
case $key in
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||||
--non-interactive)
|
||||
is_interactive=0
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||||
shift
|
||||
;;
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||||
--port)
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||||
port="$2"
|
||||
shift
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||||
shift
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||||
;;
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||||
--repo)
|
||||
repo="$2"
|
||||
shift
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||||
shift
|
||||
;;
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||||
--wtype)
|
||||
wtype="$2"
|
||||
shift
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||||
shift
|
||||
;;
|
||||
--backend)
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||||
backend="$2"
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||||
shift
|
||||
shift
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||||
;;
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||||
--gpu-id)
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||||
gpu_id="$2"
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||||
shift
|
||||
shift
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||||
;;
|
||||
--n-parallel)
|
||||
n_parallel="$2"
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||||
shift
|
||||
shift
|
||||
;;
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||||
--n-kv)
|
||||
n_kv="$2"
|
||||
shift
|
||||
shift
|
||||
;;
|
||||
--verbose)
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||||
verbose=1
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||||
shift
|
||||
;;
|
||||
--help)
|
||||
print_usage
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||||
exit 0
|
||||
;;
|
||||
*)
|
||||
echo "Unknown argument: $key"
|
||||
print_usage
|
||||
exit 1
|
||||
;;
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||||
esac
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||||
done
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||||
|
||||
# available weights types
|
||||
wtypes=("F16" "Q8_0" "Q4_0" "Q4_1" "Q5_0" "Q5_1" "Q6_K" "Q5_K_M" "Q5_K_S" "Q4_K_M" "Q4_K_S" "Q3_K_L" "Q3_K_M" "Q3_K_S" "Q2_K")
|
||||
|
||||
wfiles=()
|
||||
for wt in "${wtypes[@]}"; do
|
||||
wfiles+=("")
|
||||
done
|
||||
|
||||
# map wtype input to index
|
||||
if [[ ! -z "$wtype" ]]; then
|
||||
iw=-1
|
||||
is=0
|
||||
for wt in "${wtypes[@]}"; do
|
||||
# uppercase
|
||||
uwt=$(echo "$wt" | tr '[:lower:]' '[:upper:]')
|
||||
if [[ "$uwt" == "$wtype" ]]; then
|
||||
iw=$is
|
||||
break
|
||||
fi
|
||||
is=$((is+1))
|
||||
done
|
||||
|
||||
if [[ $iw -eq -1 ]]; then
|
||||
printf "[-] Invalid weight type: %s\n" "$wtype"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
wtype="$iw"
|
||||
fi
|
||||
|
||||
# sample repos
|
||||
repos=(
|
||||
"https://huggingface.co/TheBloke/Llama-2-7B-GGUF"
|
||||
"https://huggingface.co/TheBloke/Llama-2-13B-GGUF"
|
||||
"https://huggingface.co/TheBloke/Llama-2-70B-GGUF"
|
||||
"https://huggingface.co/TheBloke/CodeLlama-7B-GGUF"
|
||||
"https://huggingface.co/TheBloke/CodeLlama-13B-GGUF"
|
||||
"https://huggingface.co/TheBloke/CodeLlama-34B-GGUF"
|
||||
"https://huggingface.co/TheBloke/Mistral-7B-v0.1-GGUF"
|
||||
"https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF"
|
||||
"https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GGUF"
|
||||
"https://huggingface.co/TheBloke/CausalLM-7B-GGUF"
|
||||
)
|
||||
if [ $is_interactive -eq 1 ]; then
|
||||
printf "\n"
|
||||
printf "[I] This is a helper script for deploying llama.cpp's server on this machine.\n\n"
|
||||
printf " Based on the options that follow, the script might download a model file\n"
|
||||
printf " from the internet, which can be a few GBs in size. The script will also\n"
|
||||
printf " build the latest llama.cpp source code from GitHub, which can be unstable.\n"
|
||||
printf "\n"
|
||||
printf " Upon success, an HTTP server will be started and it will serve the selected\n"
|
||||
printf " model using llama.cpp for demonstration purposes.\n"
|
||||
printf "\n"
|
||||
printf " Please note:\n"
|
||||
printf "\n"
|
||||
printf " - All new data will be stored in the current folder\n"
|
||||
printf " - The server will be listening on all network interfaces\n"
|
||||
printf " - The server will run with default settings which are not always optimal\n"
|
||||
printf " - Do not judge the quality of a model based on the results from this script\n"
|
||||
printf " - Do not use this script to benchmark llama.cpp\n"
|
||||
printf " - Do not use this script in production\n"
|
||||
printf " - This script is only for demonstration purposes\n"
|
||||
printf "\n"
|
||||
printf " If you don't know what you are doing, please press Ctrl-C to abort now\n"
|
||||
printf "\n"
|
||||
printf " Press Enter to continue ...\n\n"
|
||||
|
||||
read
|
||||
fi
|
||||
|
||||
if [[ -z "$repo" ]]; then
|
||||
printf "[+] No repo provided from the command line\n"
|
||||
printf " Please select a number from the list below or enter an URL:\n\n"
|
||||
|
||||
is=0
|
||||
for r in "${repos[@]}"; do
|
||||
printf " %2d) %s\n" $is "$r"
|
||||
is=$((is+1))
|
||||
done
|
||||
|
||||
# ask for repo until index of sample repo is provided or an URL
|
||||
while [[ -z "$repo" ]]; do
|
||||
printf "\n Or choose one from: https://huggingface.co/models?sort=trending&search=gguf\n\n"
|
||||
read -p "[+] Select repo: " repo
|
||||
|
||||
# check if the input is a number
|
||||
if [[ "$repo" =~ ^[0-9]+$ ]]; then
|
||||
if [[ "$repo" -ge 0 && "$repo" -lt ${#repos[@]} ]]; then
|
||||
repo="${repos[$repo]}"
|
||||
else
|
||||
printf "[-] Invalid repo index: %s\n" "$repo"
|
||||
repo=""
|
||||
fi
|
||||
elif [[ "$repo" =~ ^https?:// ]]; then
|
||||
repo="$repo"
|
||||
else
|
||||
printf "[-] Invalid repo URL: %s\n" "$repo"
|
||||
repo=""
|
||||
fi
|
||||
done
|
||||
fi
|
||||
|
||||
# remove suffix
|
||||
repo=$(echo "$repo" | sed -E 's/\/tree\/main$//g')
|
||||
|
||||
printf "[+] Checking for GGUF model files in %s\n" "$repo"
|
||||
|
||||
# find GGUF files in the source
|
||||
# TODO: better logic
|
||||
model_tree="${repo%/}/tree/main"
|
||||
model_files=$(curl -s "$model_tree" | grep -i "\\.gguf</span>" | sed -E 's/.*<span class="truncate group-hover:underline">(.*)<\/span><\/a>/\1/g')
|
||||
|
||||
# list all files in the provided git repo
|
||||
printf "[+] Model files:\n\n"
|
||||
for file in $model_files; do
|
||||
# determine iw by grepping the filename with wtypes
|
||||
iw=-1
|
||||
is=0
|
||||
for wt in "${wtypes[@]}"; do
|
||||
# uppercase
|
||||
ufile=$(echo "$file" | tr '[:lower:]' '[:upper:]')
|
||||
if [[ "$ufile" =~ "$wt" ]]; then
|
||||
iw=$is
|
||||
break
|
||||
fi
|
||||
is=$((is+1))
|
||||
done
|
||||
|
||||
if [[ $iw -eq -1 ]]; then
|
||||
continue
|
||||
fi
|
||||
|
||||
wfiles[$iw]="$file"
|
||||
|
||||
have=" "
|
||||
if [[ -f "$file" ]]; then
|
||||
have="*"
|
||||
fi
|
||||
|
||||
printf " %2d) %s %s\n" $iw "$have" "$file"
|
||||
done
|
||||
|
||||
wfile="${wfiles[$wtype]}"
|
||||
|
||||
# ask for weights type until provided and available
|
||||
while [[ -z "$wfile" ]]; do
|
||||
printf "\n"
|
||||
read -p "[+] Select weight type: " wtype
|
||||
wfile="${wfiles[$wtype]}"
|
||||
|
||||
if [[ -z "$wfile" ]]; then
|
||||
printf "[-] Invalid weight type: %s\n" "$wtype"
|
||||
wtype=""
|
||||
fi
|
||||
done
|
||||
|
||||
printf "[+] Selected weight type: %s (%s)\n" "$wtype" "$wfile"
|
||||
|
||||
url="${repo%/}/resolve/main/$wfile"
|
||||
|
||||
# check file if the model has been downloaded before
|
||||
chk="$wfile.chk"
|
||||
|
||||
# check if we should download the file
|
||||
# - if $wfile does not exist
|
||||
# - if $wfile exists but $chk does not exist
|
||||
# - if $wfile exists and $chk exists but $wfile is newer than $chk
|
||||
# TODO: better logic using git lfs info
|
||||
|
||||
do_download=0
|
||||
|
||||
if [[ ! -f "$wfile" ]]; then
|
||||
do_download=1
|
||||
elif [[ ! -f "$chk" ]]; then
|
||||
do_download=1
|
||||
elif [[ "$wfile" -nt "$chk" ]]; then
|
||||
do_download=1
|
||||
fi
|
||||
|
||||
if [[ $do_download -eq 1 ]]; then
|
||||
printf "[+] Downloading weights from %s\n" "$url"
|
||||
|
||||
# download the weights file
|
||||
curl -o "$wfile" -# -L "$url"
|
||||
|
||||
# create a check file if successful
|
||||
if [[ $? -eq 0 ]]; then
|
||||
printf "[+] Creating check file %s\n" "$chk"
|
||||
touch "$chk"
|
||||
fi
|
||||
else
|
||||
printf "[+] Using cached weights %s\n" "$wfile"
|
||||
fi
|
||||
|
||||
# get latest llama.cpp and build
|
||||
|
||||
printf "[+] Downloading latest llama.cpp\n"
|
||||
|
||||
llama_cpp_dir="__llama_cpp_port_${port}__"
|
||||
|
||||
if [[ -d "$llama_cpp_dir" && ! -f "$llama_cpp_dir/__ggml_script__" ]]; then
|
||||
# if the dir exists and there isn't a file "__ggml_script__" in it, abort
|
||||
printf "[-] Directory %s already exists\n" "$llama_cpp_dir"
|
||||
printf "[-] Please remove it and try again\n"
|
||||
exit 1
|
||||
elif [[ -d "$llama_cpp_dir" ]]; then
|
||||
printf "[+] Directory %s already exists\n" "$llama_cpp_dir"
|
||||
printf "[+] Using cached llama.cpp\n"
|
||||
|
||||
cd "$llama_cpp_dir"
|
||||
git reset --hard
|
||||
git fetch
|
||||
git checkout origin/master
|
||||
|
||||
cd ..
|
||||
else
|
||||
printf "[+] Cloning llama.cpp\n"
|
||||
|
||||
git clone https://github.com/ggerganov/llama.cpp "$llama_cpp_dir"
|
||||
fi
|
||||
|
||||
# mark that that the directory is made by this script
|
||||
touch "$llama_cpp_dir/__ggml_script__"
|
||||
|
||||
if [[ $verbose -eq 1 ]]; then
|
||||
set -x
|
||||
fi
|
||||
|
||||
# build
|
||||
cd "$llama_cpp_dir"
|
||||
|
||||
make clean
|
||||
|
||||
log="--silent"
|
||||
if [[ $verbose -eq 1 ]]; then
|
||||
log=""
|
||||
fi
|
||||
|
||||
if [[ "$backend" == "cuda" ]]; then
|
||||
printf "[+] Building with CUDA backend\n"
|
||||
GGML_CUDA=1 make -j llama-server $log
|
||||
elif [[ "$backend" == "cpu" ]]; then
|
||||
printf "[+] Building with CPU backend\n"
|
||||
make -j llama-server $log
|
||||
elif [[ "$backend" == "metal" ]]; then
|
||||
printf "[+] Building with Metal backend\n"
|
||||
make -j llama-server $log
|
||||
else
|
||||
printf "[-] Unknown backend: %s\n" "$backend"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# run the server
|
||||
|
||||
printf "[+] Running server\n"
|
||||
|
||||
args=""
|
||||
if [[ "$backend" == "cuda" ]]; then
|
||||
export CUDA_VISIBLE_DEVICES=$gpu_id
|
||||
args="-ngl 999"
|
||||
elif [[ "$backend" == "cpu" ]]; then
|
||||
args="-ngl 0"
|
||||
elif [[ "$backend" == "metal" ]]; then
|
||||
args="-ngl 999"
|
||||
else
|
||||
printf "[-] Unknown backend: %s\n" "$backend"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
if [[ $verbose -eq 1 ]]; then
|
||||
args="$args --verbose"
|
||||
fi
|
||||
|
||||
./llama-server -m "../$wfile" --host 0.0.0.0 --port "$port" -c $n_kv -np "$n_parallel" $args
|
||||
|
||||
exit 0
|
||||
Loading…
Add table
Add a link
Reference in a new issue