Added -no-cnv flag to force instruct models to continuously generate tokens

This commit is contained in:
AbdulMuqeet Mohammed 2025-02-03 00:13:50 -05:00
parent 6eecde3cc8
commit ccfdca810e

View file

@ -6,22 +6,31 @@
source /opt/intel/oneapi/setvars.sh
#export GGML_SYCL_DEBUG=1
# export GGML_SYCL_DEBUG=1
#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.
export ZES_ENABLE_SYSMAN=1
# Enable this to allow llama.cpp to check the free memory of the GPU by using:
# sycl::aspect::ext_intel_free_memory
#
# It's recommended to use this when using --split-mode=layer so that llama.cpp
# can better optimize the distribution of layers across the CPU and GPU.
INPUT_PROMPT="Building a website can be done in 10 simple steps:\nStep 1:"
MODEL_FILE=models/llama-2-7b.Q4_0.gguf
MODEL_FILE="models/llama-2-7b.Q4_0.gguf"
NGL=33
CONEXT=8192
CONTEXT=8192
if [ $# -gt 0 ]; then
GGML_SYCL_DEVICE=$1
echo "use $GGML_SYCL_DEVICE as main GPU"
#use signle GPU only
ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m ${MODEL_FILE} -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s 0 -c ${CONEXT} -mg $GGML_SYCL_DEVICE -sm none
echo "Using ${GGML_SYCL_DEVICE} as the main GPU"
# Use on a single GPU
EXTRA_ARGS="-mg ${GGML_SYCL_DEVICE} -sm none"
else
#use multiple GPUs with same max compute units
ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m ${MODEL_FILE} -p "${INPUT_PROMPT}" -n 400 -e -ngl ${NGL} -s 0 -c ${CONEXT}
# Use on multiple processors with the same max-compute units
EXTRA_ARGS=""
fi
./build/bin/llama-cli -m "${MODEL_FILE}" -p "${INPUT_PROMPT}" -n 400 -no-cnv -e -ngl ${NGL} -s 0 -c ${CONTEXT} ${EXTRA_ARGS}
# The "-no-cnv" flag is to force non-base "instruct" models to continue.
# This way, we can automatically test this prompt without interference.