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|
#!/usr/bin/env bash
# make sure we are in the right directory
SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
cd $SCRIPT_DIR
#export LLAMA_CACHE="$SCRIPT_DIR/tmp"
set -eux
mkdir -p $SCRIPT_DIR/output
PROJ_ROOT="$SCRIPT_DIR/../.."
cd $PROJ_ROOT
# Check if the first argument is "big", then run test with big models
# This is useful if we're running the script on a larger machine, so we can test the big models
RUN_BIG_TESTS=false
if [ "${1:-}" = "big" ]; then
RUN_BIG_TESTS=true
echo "Include BIG models..."
fi
RUN_HUGE_TESTS=false
if [ "${1:-}" = "huge" ]; then
RUN_HUGE_TESTS=true
RUN_BIG_TESTS=true
echo "Include BIG and HUGE models..."
fi
###############
arr_prefix=()
arr_hf=()
arr_extra_args=()
arr_file=()
add_test_vision() {
local hf=$1
shift
local extra_args=""
if [ $# -gt 0 ]; then
extra_args=$(printf " %q" "$@")
fi
arr_prefix+=("[vision]")
arr_hf+=("$hf")
arr_extra_args+=("$extra_args")
arr_file+=("test-1.jpeg")
}
add_test_audio() {
local hf=$1
shift
local extra_args=""
if [ $# -gt 0 ]; then
extra_args=$(printf " %q" "$@")
fi
arr_prefix+=("[audio] ")
arr_hf+=("$hf")
arr_extra_args+=("$extra_args")
arr_file+=("test-2.mp3")
}
add_test_vision "ggml-org/SmolVLM-500M-Instruct-GGUF:Q8_0"
add_test_vision "ggml-org/SmolVLM2-2.2B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/SmolVLM2-500M-Video-Instruct-GGUF:Q8_0"
add_test_vision "ggml-org/gemma-3-4b-it-GGUF:Q4_K_M"
add_test_vision "THUDM/glm-edge-v-5b-gguf:Q4_K_M" -p "name of the newspaper?<__media__>"
add_test_vision "second-state/Llava-v1.5-7B-GGUF:Q2_K" --chat-template vicuna
add_test_vision "cjpais/llava-1.6-mistral-7b-gguf:Q3_K_M" --chat-template vicuna
add_test_vision "ibm-research/granite-vision-3.2-2b-GGUF:Q4_K_M"
add_test_vision "second-state/MiniCPM-Llama3-V-2_5-GGUF:Q2_K" # model from openbmb is corrupted
add_test_vision "openbmb/MiniCPM-V-2_6-gguf:Q2_K"
add_test_vision "openbmb/MiniCPM-o-2_6-gguf:Q4_0"
add_test_vision "bartowski/Qwen2-VL-2B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/Qwen2.5-VL-3B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/InternVL2_5-1B-GGUF:Q8_0"
add_test_vision "ggml-org/InternVL3-1B-Instruct-GGUF:Q8_0"
add_test_vision "ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M"
add_test_vision "ggml-org/LFM2-VL-450M-GGUF:Q8_0"
add_test_vision "ggml-org/granite-docling-258M-GGUF:Q8_0"
add_test_vision "ggml-org/LightOnOCR-1B-1025-GGUF:Q8_0"
add_test_audio "ggml-org/ultravox-v0_5-llama-3_2-1b-GGUF:Q8_0"
add_test_audio "ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M"
add_test_audio "ggml-org/Voxtral-Mini-3B-2507-GGUF:Q4_K_M"
add_test_audio "ggml-org/LFM2-Audio-1.5B-GGUF:Q8_0"
# to test the big models, run: ./tests.sh big
if [ "$RUN_BIG_TESTS" = true ]; then
add_test_vision "ggml-org/pixtral-12b-GGUF:Q4_K_M"
add_test_vision "ggml-org/Mistral-Small-3.1-24B-Instruct-2503-GGUF" --chat-template mistral-v7
add_test_vision "ggml-org/Qwen2-VL-2B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/Qwen2-VL-7B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/Qwen2.5-VL-3B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/Qwen2.5-VL-7B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/Qwen3-VL-2B-Instruct-GGUF:Q8_0"
add_test_vision "ggml-org/InternVL3-8B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/InternVL3-14B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/Qwen2.5-Omni-7B-GGUF:Q4_K_M"
# add_test_vision "ggml-org/Qwen2.5-VL-32B-Instruct-GGUF:Q4_K_M" # does not work on my mac M3 Ultra
# add_test_vision "ggml-org/Kimi-VL-A3B-Thinking-2506-GGUF:Q4_K_M" # not always working
add_test_audio "ggml-org/ultravox-v0_5-llama-3_1-8b-GGUF:Q4_K_M"
add_test_audio "ggml-org/Qwen2.5-Omni-7B-GGUF:Q4_K_M"
fi
# to test the huge models, run: ./tests.sh huge
# this will run both the big and huge models
# huge models are > 32B parameters
if [ "$RUN_HUGE_TESTS" = true ]; then
add_test_vision "ggml-org/Qwen2.5-VL-72B-Instruct-GGUF:Q4_K_M"
add_test_vision "ggml-org/Llama-4-Scout-17B-16E-Instruct-GGUF:IQ1_S"
fi
# these models always give the wrong answer, not sure why
# add_test_vision "ggml-org/SmolVLM-Instruct-GGUF:Q4_K_M"
# add_test_vision "ggml-org/SmolVLM-256M-Instruct-GGUF:Q8_0"
# add_test_vision "ggml-org/SmolVLM2-256M-Video-Instruct-GGUF:Q8_0"
# this model has broken chat template, not usable
# add_test_vision "cmp-nct/Yi-VL-6B-GGUF:Q5_K"
# add_test_vision "guinmoon/MobileVLM-3B-GGUF:Q4_K_M" "deepseek"
###############
cmake --build build -j --target llama-mtmd-cli
arr_res=()
for i in "${!arr_hf[@]}"; do
bin="llama-mtmd-cli"
prefix="${arr_prefix[$i]}"
hf="${arr_hf[$i]}"
extra_args="${arr_extra_args[$i]}"
inp_file="${arr_file[$i]}"
echo "Running test with binary: $bin and HF model: $hf"
echo ""
echo ""
cmd="$(printf %q "$PROJ_ROOT/build/bin/$bin") \
-hf $(printf %q "$hf") \
--image $(printf %q "$SCRIPT_DIR/$inp_file") \
--temp 0 -n 128 \
${extra_args}"
# if extra_args does not contain -p, we add a default prompt
if ! [[ "$extra_args" =~ "-p" ]]; then
cmd+=" -p \"what is the publisher name of the newspaper?\""
fi
output=$(eval "$cmd" 2>&1 | tee /dev/tty)
echo "$output" > $SCRIPT_DIR/output/$bin-$(echo "$hf" | tr '/' '-').log
# either contains "new york" or both "men" and "walk"
if echo "$output" | grep -iq "new york" \
|| (echo "$output" | grep -iq "men" && echo "$output" | grep -iq "walk")
then
result="$prefix \033[32mOK\033[0m: $hf"
else
result="$prefix \033[31mFAIL\033[0m: $hf"
fi
echo -e "$result"
arr_res+=("$result")
echo ""
echo ""
echo ""
echo "#################################################"
echo "#################################################"
echo ""
echo ""
done
set +x
for i in "${!arr_res[@]}"; do
echo -e "${arr_res[$i]}"
done
echo ""
echo "Output logs are saved in $SCRIPT_DIR/output"
|
