mirror of
https://github.com/ikawrakow/ik_llama.cpp.git
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0ceeb11721
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
37 lines
1.2 KiB
Bash
Executable File
37 lines
1.2 KiB
Bash
Executable File
#!/bin/bash
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# MIT license
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# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: MIT
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INPUT2="Building a website can be done in 10 simple steps:\nStep 1:"
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source /opt/intel/oneapi/setvars.sh
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if [ $# -gt 0 ]; then
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GGML_SYCL_DEVICE=$1
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GGML_SYCL_SINGLE_GPU=1
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else
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GGML_SYCL_DEVICE=0
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GGML_SYCL_SINGLE_GPU=0
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fi
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#export GGML_SYCL_DEBUG=1
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#ZES_ENABLE_SYSMAN=1, Support to get free memory of GPU by sycl::aspect::ext_intel_free_memory. Recommended to use when --split-mode = layer.
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if [ $GGML_SYCL_SINGLE_GPU -eq 1 ]; then
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echo "use $GGML_SYCL_DEVICE as main GPU"
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#use signle GPU only
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ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0 -mg $GGML_SYCL_DEVICE -sm none
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else
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#use multiple GPUs with same max compute units
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ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0
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fi
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#use main GPU only
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#ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0 -mg $GGML_SYCL_DEVICE -sm none
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#use multiple GPUs with same max compute units
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#ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0
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