mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-26 11:24:35 +00:00
docs : remove obsolete make references, scripts, examples
ggml-ci
This commit is contained in:
Georgi Gerganov
parent
c536c07e1e
commit
328ded353b
@ -27,13 +27,6 @@ We recommend using openmp since it's easier to modify the cores being used.
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### llama.cpp compilation
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Makefile:
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```bash
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make GGML_BLIS=1 -j
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# make GGML_BLIS=1 llama-benchmark-matmult
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```
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CMake:
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```bash
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@ -18,7 +18,6 @@ In order to build llama.cpp you have four different options.
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**Notes**:
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- For `Q4_0_4_4` quantization type build, add the `-DGGML_LLAMAFILE=OFF` cmake option. For example, use `cmake -B build -DGGML_LLAMAFILE=OFF`.
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- For faster compilation, add the `-j` argument to run multiple jobs in parallel. For example, `cmake --build build --config Release -j 8` will run 8 jobs in parallel.
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- For faster repeated compilation, install [ccache](https://ccache.dev/).
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- For debug builds, there are two cases:
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@ -337,9 +336,3 @@ For detailed info, such as model/device supports, CANN install, please refer to
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### Android
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To read documentation for how to build on Android, [click here](./android.md)
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### Arm CPU optimized mulmat kernels
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Llama.cpp includes a set of optimized mulmat kernels for the Arm architecture, leveraging Arm® Neon™, int8mm and SVE instructions. These kernels are enabled at build time through the appropriate compiler cpu-type flags, such as `-DCMAKE_C_FLAGS=-march=armv8.2a+i8mm+sve`. Note that these optimized kernels require the model to be quantized into one of the formats: `Q4_0_4_4` (Arm Neon), `Q4_0_4_8` (int8mm) or `Q4_0_8_8` (SVE). The SVE mulmat kernel specifically requires a vector width of 256 bits. When running on devices with a different vector width, it is recommended to use the `Q4_0_4_8` (int8mm) or `Q4_0_4_4` (Arm Neon) formats for better performance. Refer to [examples/quantize/README.md](../examples/quantize/README.md) for more information on the quantization formats.
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To support `Q4_0_4_4`, you must build with `GGML_NO_LLAMAFILE=1` (`make`) or `-DGGML_LLAMAFILE=OFF` (`cmake`).
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@ -1,61 +0,0 @@
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#!/bin/bash
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#
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# Few-shot translation example.
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# Requires a base model (i.e. no fine-tuned or instruct models).
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#
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# Usage:
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#
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# cd llama.cpp
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# make -j
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#
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# ./examples/base-translate.sh <model-base> "<text>" [extra-main-args]
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#
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if [ $# -lt 2 ]; then
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echo "Usage: ./base-translate.sh <model-base> \"<text>\" [extra-main-args]"
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exit 1
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fi
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eargs=""
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if [ $# -gt 2 ]; then
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eargs="${@:3}"
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fi
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ftmp="__llama.cpp_example_tmp__.txt"
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trap "rm -f $ftmp" EXIT
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echo "Translate from English to French:
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===
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sea otter, peppermint, plush girafe:
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sea otter => loutre de mer
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peppermint => menthe poivrée
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plush girafe => girafe peluche
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===
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violin
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violin => violon
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===
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phone, computer, mouse, keyboard:
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phone => téléphone
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computer => ordinateur
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mouse => souris
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keyboard => clavier
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===
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" > $ftmp
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echo "$2
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" >> $ftmp
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model=$1
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# generate the most likely continuation until the string "===" is found
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./llama-cli -m $model -f $ftmp -n 64 --temp 0 --repeat-penalty 1.0 --no-penalize-nl -r "===" $eargs
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@ -2,11 +2,8 @@
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This example reads weights from project [llama2.c](https://github.com/karpathy/llama2.c) and saves them in ggml compatible format. The vocab that is available in `models/ggml-vocab.bin` is used by default.
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To convert the model first download the models from the [llama2.c](https://github.com/karpathy/llama2.c) repository:
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To convert the model first download the models from the [llama2.c](https://github.com/karpathy/llama2.c) repository.
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`$ make -j`
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After successful compilation, following usage options are available:
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```
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usage: ./llama-convert-llama2c-to-ggml [options]
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@ -25,8 +25,6 @@ For faster computation, make sure to use GPU offloading via the `-ngl` argument
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## Example
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```bash
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GGML_CUDA=1 make -j
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# generate importance matrix (imatrix.dat)
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./llama-imatrix -m ggml-model-f16.gguf -f train-data.txt -ngl 99
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@ -188,12 +188,6 @@ services:
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`llama-server` is built alongside everything else from the root of the project
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- Using `make`:
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```bash
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make llama-server
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```
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- Using `CMake`:
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```bash
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@ -207,15 +201,6 @@ services:
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`llama-server` can also be built with SSL support using OpenSSL 3
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- Using `make`:
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```bash
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# NOTE: For non-system openssl, use the following:
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# CXXFLAGS="-I /path/to/openssl/include"
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# LDFLAGS="-L /path/to/openssl/lib"
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make LLAMA_SERVER_SSL=true llama-server
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```
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- Using `CMake`:
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```bash
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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
|
||||
# --wtype: weights type (f16, q8_0, q4_0, q4_1), default is user-input
|
||||
# --backend: cpu, cuda, metal, depends on the OS
|
||||
# --gpu-id: gpu id, default is 0
|
||||
# --n-parallel: number of parallel requests, default is 8
|
||||
# --n-kv: KV cache size, default is 4096
|
||||
# --verbose: verbose output
|
||||
# --non-interactive: run without asking a permission to run
|
||||
#
|
||||
# Example:
|
||||
#
|
||||
# bash -c "$(curl -s https://ggml.ai/server-llm.sh)"
|
||||
#
|
||||
|
||||
set -e
|
||||
|
||||
# required utils: curl, git, make
|
||||
if ! command -v curl &> /dev/null; then
|
||||
printf "[-] curl not found\n"
|
||||
exit 1
|
||||
fi
|
||||
if ! command -v git &> /dev/null; then
|
||||
printf "[-] git not found\n"
|
||||
exit 1
|
||||
fi
|
||||
if ! command -v make &> /dev/null; then
|
||||
printf "[-] make not found\n"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# parse arguments
|
||||
is_interactive=1
|
||||
port=8888
|
||||
repo=""
|
||||
wtype=""
|
||||
backend="cpu"
|
||||
|
||||
# if macOS, use metal backend by default
|
||||
if [[ "$OSTYPE" == "darwin"* ]]; then
|
||||
backend="metal"
|
||||
elif command -v nvcc &> /dev/null; then
|
||||
backend="cuda"
|
||||
fi
|
||||
|
||||
gpu_id=0
|
||||
n_parallel=8
|
||||
n_kv=4096
|
||||
verbose=0
|
||||
|
||||
function print_usage {
|
||||
printf "Usage:\n"
|
||||
printf " ./server-llm.sh [--port] [--repo] [--wtype] [--backend] [--gpu-id] [--n-parallel] [--n-kv] [--verbose] [-non-interactive]\n\n"
|
||||
printf " --port: port number, default is 8888\n"
|
||||
printf " --repo: path to a repo containing GGUF model files\n"
|
||||
printf " --wtype: weights type (f16, q8_0, q4_0, q4_1), default is user-input\n"
|
||||
printf " --backend: cpu, cuda, metal, depends on the OS\n"
|
||||
printf " --gpu-id: gpu id, default is 0\n"
|
||||
printf " --n-parallel: number of parallel requests, default is 8\n"
|
||||
printf " --n-kv: KV cache size, default is 4096\n"
|
||||
printf " --verbose: verbose output\n\n"
|
||||
printf " --non-interactive: run without asking a permission to run\n"
|
||||
printf "Example:\n\n"
|
||||
printf ' bash -c "$(curl -s https://ggml.ai/server-llm.sh)"\n\n'
|
||||
}
|
||||
|
||||
while [[ $# -gt 0 ]]; do
|
||||
key="$1"
|
||||
case $key in
|
||||
--non-interactive)
|
||||
is_interactive=0
|
||||
shift
|
||||
;;
|
||||
--port)
|
||||
port="$2"
|
||||
shift
|
||||
shift
|
||||
;;
|
||||
--repo)
|
||||
repo="$2"
|
||||
shift
|
||||
shift
|
||||
;;
|
||||
--wtype)
|
||||
wtype="$2"
|
||||
shift
|
||||
shift
|
||||
;;
|
||||
--backend)
|
||||
backend="$2"
|
||||
shift
|
||||
shift
|
||||
;;
|
||||
--gpu-id)
|
||||
gpu_id="$2"
|
||||
shift
|
||||
shift
|
||||
;;
|
||||
--n-parallel)
|
||||
n_parallel="$2"
|
||||
shift
|
||||
shift
|
||||
;;
|
||||
--n-kv)
|
||||
n_kv="$2"
|
||||
shift
|
||||
shift
|
||||
;;
|
||||
--verbose)
|
||||
verbose=1
|
||||
shift
|
||||
;;
|
||||
--help)
|
||||
print_usage
|
||||
exit 0
|
||||
;;
|
||||
*)
|
||||
echo "Unknown argument: $key"
|
||||
print_usage
|
||||
exit 1
|
||||
;;
|
||||
esac
|
||||
done
|
||||
|
||||
# available weights types
|
||||
wtypes=("F16" "Q8_0" "Q4_0" "Q4_1" "Q5_0" "Q5_1" "Q6_K" "Q5_K_M" "Q5_K_S" "Q4_K_M" "Q4_K_S" "Q3_K_L" "Q3_K_M" "Q3_K_S" "Q2_K")
|
||||
|
||||
wfiles=()
|
||||
for wt in "${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…
Reference in New Issue
Block a user