mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-27 06:39:25 +01:00
1c641e6aac
* `main`/`server`: rename to `llama` / `llama-server` for consistency w/ homebrew
* server: update refs -> llama-server
gitignore llama-server
* server: simplify nix package
* main: update refs -> llama
fix examples/main ref
* main/server: fix targets
* update more names
* Update build.yml
* rm accidentally checked in bins
* update straggling refs
* Update .gitignore
* Update server-llm.sh
* main: target name -> llama-cli
* Prefix all example bins w/ llama-
* fix main refs
* rename {main->llama}-cmake-pkg binary
* prefix more cmake targets w/ llama-
* add/fix gbnf-validator subfolder to cmake
* sort cmake example subdirs
* rm bin files
* fix llama-lookup-* Makefile rules
* gitignore /llama-*
* rename Dockerfiles
* rename llama|main -> llama-cli; consistent RPM bin prefixes
* fix some missing -cli suffixes
* rename dockerfile w/ llama-cli
* rename(make): llama-baby-llama
* update dockerfile refs
* more llama-cli(.exe)
* fix test-eval-callback
* rename: llama-cli-cmake-pkg(.exe)
* address gbnf-validator unused fread warning (switched to C++ / ifstream)
* add two missing llama- prefixes
* Updating docs for eval-callback binary to use new `llama-` prefix.
* Updating a few lingering doc references for rename of main to llama-cli
* Updating `run-with-preset.py` to use new binary names.
Updating docs around `perplexity` binary rename.
* Updating documentation references for lookup-merge and export-lora
* Updating two small `main` references missed earlier in the finetune docs.
* Update apps.nix
* update grammar/README.md w/ new llama-* names
* update llama-rpc-server bin name + doc
* Revert "update llama-rpc-server bin name + doc"
This reverts commit e474ef1df4.
* add hot topic notice to README.md
* Update README.md
* Update README.md
* rename gguf-split & quantize bins refs in **/tests.sh
---------
Co-authored-by: HanClinto <hanclinto@gmail.com>
214 lines
8.2 KiB
Bash
214 lines
8.2 KiB
Bash
#!/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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LLAMA_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 -DLLAMA_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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LLAMA_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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LLAMA_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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LLAMA_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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# LLAMA_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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#LLAMA_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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#LLAMA_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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