Update performance test regarding updated default transformers==4.37.0 (#11869)

* Update igpu performance from transformers 4.36.2 to 4.37.0 (#11841)

* upgrade arc perf test to transformers 4.37 (#11842)

* fix load low bit com dtype (#11832)

* feat: add mixed_precision argument on ppl longbench evaluation

* fix: delete extra code

* feat: upgrade arc perf test to transformers 4.37

* fix: add missing codes

* fix: keep perf test for qwen-vl-chat in transformers 4.36

* fix: remove extra space

* fix: resolve pr comment

* fix: add empty line

* fix: add pip install for spr and core test

* fix: delete extra comments

* fix: remove python -m for pip

* Revert "fix load low bit com dtype (#11832)"

This reverts commit 6841a9ac8f.

---------

Co-authored-by: Zhao Changmin <changmin.zhao@intel.com>
Co-authored-by: Jinhe Tang <jin.tang1337@gmail.com>

* add transformers==4.36 for qwen vl in igpu-perf (#11846)

* add transformers==4.36.2 for qwen-vl

* Small update

---------

Co-authored-by: Yuwen Hu <yuwen.hu@intel.com>

* fix: remove qwen-7b on core test (#11851)

* fix: remove qwen-7b on core test

* fix: change delete to comment

---------

Co-authored-by: Jinhe Tang <jin.tang1337@gmail.com>

* replce filename (#11854)

* fix: remove qwen-7b on core test

* fix: change delete to comment

* fix: replace filename

---------

Co-authored-by: Jinhe Tang <jin.tang1337@gmail.com>

* fix: delete extra comments (#11863)

* Remove transformers installation for temp test purposes

* Small fix

* Small update

---------

Co-authored-by: Chu,Youcheng <70999398+cranechu0131@users.noreply.github.com>
Co-authored-by: Zhao Changmin <changmin.zhao@intel.com>
Co-authored-by: Jinhe Tang <jin.tang1337@gmail.com>
Co-authored-by: Zijie Li <michael20001122@gmail.com>
Co-authored-by: Chu,Youcheng <1340390339@qq.com>

.github/workflows/llm_performance_tests.yml

@@ -153,7 +153,8 @@ jobs:
           source /opt/intel/oneapi/setvars.sh
           export USE_XETLA=OFF
           export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
-          cp python/llm/test/benchmark/arc-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
+          pip install transformers==4.36.2
+          cp python/llm/test/benchmark/arc-perf-transformers-436.yaml python/llm/dev/benchmark/all-in-one/config.yaml
           cd python/llm/dev/benchmark/all-in-one
           mkdir test_batch1
           mkdir test_batch2
@@ -167,7 +168,7 @@ jobs:
           mv *.csv test_batch1
           # batch_size 2
           cd ../../../../../ 
-          cp python/llm/test/benchmark/arc-perf-test-batch2.yaml python/llm/dev/benchmark/all-in-one/config.yaml
+          cp python/llm/test/benchmark/arc-perf-transformers-436-batch2.yaml python/llm/dev/benchmark/all-in-one/config.yaml
           cd python/llm/dev/benchmark/all-in-one
           # change csv name
           sed -i 's/batch1/batch2/g' run.py
@@ -175,7 +176,7 @@ jobs:
           mv *.csv test_batch2
           # batch_size 4
           cd ../../../../../ 
-          cp python/llm/test/benchmark/arc-perf-test-batch4.yaml python/llm/dev/benchmark/all-in-one/config.yaml
+          cp python/llm/test/benchmark/arc-perf-transformers-436-batch4.yaml python/llm/dev/benchmark/all-in-one/config.yaml
           cd python/llm/dev/benchmark/all-in-one
           # change csv name
           sed -i 's/batch2/batch4/g' run.py
@@ -188,7 +189,7 @@ jobs:
           source /opt/intel/oneapi/setvars.sh
           export USE_XETLA=OFF
           export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
-          # upgrade transformers for model Qwen/Qwen1.5-7B-Chat
+          # upgrade for default transformers version
           python -m pip install transformers==4.37.0
           # batch_size 1
           cp python/llm/test/benchmark/arc-perf-transformers-437.yaml python/llm/dev/benchmark/all-in-one/config.yaml
@@ -314,7 +315,7 @@ jobs:
         run: |
           # batch_size 1
           cd python/llm/dev/benchmark/all-in-one/test_batch1
-          python ../../../../test/benchmark/check_results.py -c test1 -y ../../../../test/benchmark/arc-perf-test.yaml
+          python ../../../../test/benchmark/check_results.py -c test1 -y ../../../../test/benchmark/arc-perf-transformers-436.yaml
           python ../../../../test/benchmark/check_results.py -c test2 -y ../../../../test/benchmark/arc-perf-transformers-437.yaml
           python ../../../../test/benchmark/check_results.py -c test3 -y ../../../../test/benchmark/arc-perf-transformers-440.yaml
           find . -name "*test*.csv" -delete
@@ -327,7 +328,7 @@ jobs:
           rm -r test_batch1
           # batch_size 2
           cd test_batch2
-          python ../../../../test/benchmark/check_results.py -c test1 -y ../../../../test/benchmark/arc-perf-test-batch2.yaml
+          python ../../../../test/benchmark/check_results.py -c test1 -y ../../../../test/benchmark/arc-perf-transformers-436-batch2.yaml
           python ../../../../test/benchmark/check_results.py -c test2 -y ../../../../test/benchmark/arc-perf-transformers-437-batch2.yaml
           find . -name "*test*.csv" -delete
           if [[ ${{ github.event_name }} == "schedule" ]]; then
@@ -339,7 +340,7 @@ jobs:
           rm -r test_batch2
           # batch_size 4
           cd test_batch4
-          python ../../../../test/benchmark/check_results.py -c test1 -y ../../../../test/benchmark/arc-perf-test-batch4.yaml
+          python ../../../../test/benchmark/check_results.py -c test1 -y ../../../../test/benchmark/arc-perf-transformers-436-batch4.yaml
           python ../../../../test/benchmark/check_results.py -c test2 -y ../../../../test/benchmark/arc-perf-transformers-437-batch4.yaml
           find . -name "*test*.csv" -delete
           if [[ ${{ github.event_name }} == "schedule" ]]; then
@@ -384,7 +385,6 @@ jobs:
           python -m pip install --upgrade einops
           python -m pip install --upgrade tiktoken
           python -m pip install --upgrade transformers_stream_generator
-
       # specific for test on certain commits
       - name: Download llm binary
         if: ${{ github.event_name == 'workflow_dispatch' && (inputs.checkout-ref != 'main') }}
@@ -653,6 +653,7 @@ jobs:
           set BIGDL_LLM_XMX_DISABLED=1
           REM for llava
           set TRANSFORMERS_OFFLINE=1
+          pip install transformers==4.37.0
 
           cd python\llm\dev\benchmark\all-in-one
           move ..\..\..\test\benchmark\igpu-perf\32-32_int4_fp16.yaml config.yaml
@@ -664,23 +665,23 @@ jobs:
 
           call conda deactivate
 
-      - name: Prepare igpu perf test for transformers 4.37 (32-32 int4+fp16)
+      - name: Prepare igpu perf test for transformers 4.36 (32-32 int4+fp16)
         shell: bash
         run: |
           sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/32-32_int4_fp16_437.yaml
+          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/32-32_int4_fp16_436.yaml
 
-      - name: Test on igpu for transformers 4.37 (32-32 int4+fp16)
+      - name: Test on igpu for transformers 4.36 (32-32 int4+fp16)
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.37.0
+          pip install transformers==4.36.2
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
 
           cd python\llm\dev\benchmark\all-in-one
-          move ..\..\..\test\benchmark\igpu-perf\32-32_int4_fp16_437.yaml config.yaml
+          move ..\..\..\test\benchmark\igpu-perf\32-32_int4_fp16_436.yaml config.yaml
           set PYTHONIOENCODING=utf-8
           python run.py >> %CSV_SAVE_PATH%\32-32_int4_fp16\log\%LOG_FILE% 2>&1
           if %ERRORLEVEL% neq 0 (exit /b 1)
@@ -771,7 +772,7 @@ jobs:
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.36.2
+          pip install transformers==4.37.0
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
@@ -788,23 +789,23 @@ jobs:
 
           call conda deactivate
 
-      - name: Prepare igpu perf test for transformers 4.37 (1024-128 int4+fp16)
+      - name: Prepare igpu perf test for transformers 4.36 (1024-128 int4+fp16)
         shell: bash
         run: |
           sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_437.yaml
+          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_436.yaml
 
-      - name: Test on igpu for transformers 4.37 (1024-128 int4+fp16)
+      - name: Test on igpu for transformers 4.36 (1024-128 int4+fp16)
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.37.0
+          pip install transformers==4.36.2
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
 
           cd python\llm\dev\benchmark\all-in-one
-          move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16_437.yaml config.yaml
+          move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16_436.yaml config.yaml
           set PYTHONIOENCODING=utf-8
           python run.py >> %CSV_SAVE_PATH%\1024-128_int4_fp16\log\%LOG_FILE% 2>&1
           if %ERRORLEVEL% neq 0 (exit /b 1)
@@ -812,7 +813,7 @@ jobs:
           if %ERRORLEVEL% neq 0 (exit /b 1)
 
           call conda deactivate
-          
+
       - name: Prepare igpu perf test for transformers 4.38 (1024-128 int4+fp16)
         shell: bash
         run: |
@@ -894,7 +895,6 @@ jobs:
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.36.2
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
@@ -911,23 +911,23 @@ jobs:
 
           call conda deactivate
 
-      - name: Prepare igpu perf test for transformers 4.37 (2048-256 int4+fp16)
+      - name: Prepare igpu perf test for transformers 4.36 (2048-256 int4+fp16)
         shell: bash
         run: |
           sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/2048-256_int4_fp16_437.yaml
+          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/2048-256_int4_fp16_436.yaml
 
-      - name: Test on igpu for transformers 4.37 (2048-256 int4+fp16)
+      - name: Test on igpu for transformers 4.36 (2048-256 int4+fp16)
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.37.0
+          pip install transformers==4.36.2
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
 
           cd python\llm\dev\benchmark\all-in-one
-          move ..\..\..\test\benchmark\igpu-perf\2048-256_int4_fp16_437.yaml config.yaml
+          move ..\..\..\test\benchmark\igpu-perf\2048-256_int4_fp16_436.yaml config.yaml
           set PYTHONIOENCODING=utf-8
           python run.py >> %CSV_SAVE_PATH%\2048-256_int4_fp16\log\%LOG_FILE% 2>&1
           if %ERRORLEVEL% neq 0 (exit /b 1)
@@ -935,7 +935,7 @@ jobs:
           if %ERRORLEVEL% neq 0 (exit /b 1)
 
           call conda deactivate
-          
+
       - name: Prepare igpu perf test for transformers 4.38 (2048-256 int4+fp16)
         shell: bash
         run: |
@@ -1017,7 +1017,7 @@ jobs:
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.36.2
+          pip install transformers==4.37.0
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
@@ -1034,23 +1034,23 @@ jobs:
 
           call conda deactivate
 
-      - name: Prepare igpu perf test for transformers 4.37 (3072-384 int4+fp16)
+      - name: Prepare igpu perf test for transformers 4.36 (3072-384 int4+fp16)
         shell: bash
         run: |
           sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/3072-384_int4_fp16_437.yaml
+          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/3072-384_int4_fp16_436.yaml
 
-      - name: Test on igpu for transformers 4.37 (3072-384 int4+fp16)
+      - name: Test on igpu for transformers 4.36 (3072-384 int4+fp16)
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.37.0
+          pip install transformers==4.36.2
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
 
           cd python\llm\dev\benchmark\all-in-one
-          move ..\..\..\test\benchmark\igpu-perf\3072-384_int4_fp16_437.yaml config.yaml
+          move ..\..\..\test\benchmark\igpu-perf\3072-384_int4_fp16_436.yaml config.yaml
           set PYTHONIOENCODING=utf-8
           python run.py >> %CSV_SAVE_PATH%\3072-384_int4_fp16\log\%LOG_FILE% 2>&1
           if %ERRORLEVEL% neq 0 (exit /b 1)
@@ -1140,7 +1140,7 @@ jobs:
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.36.2
+          pip install transformers==4.37.0
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
@@ -1157,35 +1157,10 @@ jobs:
 
           call conda deactivate
 
-      - name: Prepare igpu perf test for transformers 4.37 (4096-512 int4+fp16)
-        shell: bash
-        run: |
-          sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/4096-512_int4_fp16_437.yaml
-
-      - name: Test on igpu for transformers 4.37 (4096-512 int4+fp16)
-        shell: cmd
-        run: |
-          call conda activate igpu-perf
-          pip install transformers==4.37.0
-
-          set SYCL_CACHE_PERSISTENT=1
-          set BIGDL_LLM_XMX_DISABLED=1
-
-          cd python\llm\dev\benchmark\all-in-one
-          move ..\..\..\test\benchmark\igpu-perf\4096-512_int4_fp16_437.yaml config.yaml
-          set PYTHONIOENCODING=utf-8
-          python run.py >> %CSV_SAVE_PATH%\4096-512_int4_fp16\log\%LOG_FILE% 2>&1
-          if %ERRORLEVEL% neq 0 (exit /b 1)
-          python ..\..\..\test\benchmark\igpu-perf\check_csv_results.py --yaml-file config.yaml --suffix test2
-          if %ERRORLEVEL% neq 0 (exit /b 1)
-
-          call conda deactivate
-
       - name: Prepare igpu perf test for transformers 4.38 (4096-512 int4+fp16)
         shell: bash
         run: |
-          sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
+          sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
           sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/4096-512_int4_fp16_438.yaml
 
       - name: Test on igpu for transformers 4.38 (4096-512 int4+fp16)
@@ -1202,7 +1177,7 @@ jobs:
           set PYTHONIOENCODING=utf-8
           python run.py >> %CSV_SAVE_PATH%\4096-512_int4_fp16\log\%LOG_FILE% 2>&1
           if %ERRORLEVEL% neq 0 (exit /b 1)
-          python ..\..\..\test\benchmark\igpu-perf\check_csv_results.py --yaml-file config.yaml --suffix test3
+          python ..\..\..\test\benchmark\igpu-perf\check_csv_results.py --yaml-file config.yaml --suffix test2
           if %ERRORLEVEL% neq 0 (exit /b 1)
 
           call conda deactivate
@@ -1210,7 +1185,7 @@ jobs:
       - name: Prepare igpu perf test for transformers 4.43 (4096-512 int4+fp16)
         shell: bash
         run: |
-          sed -i 's/{today}_test3/{today}_test4/g' python/llm/dev/benchmark/all-in-one/run.py
+          sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
           sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/4096-512_int4_fp16_443.yaml
 
       - name: Test on igpu for transformers 4.43 (4096-512 int4+fp16)
@@ -1228,7 +1203,7 @@ jobs:
           set PYTHONIOENCODING=utf-8
           python run.py >> %CSV_SAVE_PATH%\4096-512_int4_fp16\log\%LOG_FILE% 2>&1
           if %ERRORLEVEL% neq 0 (exit /b 1)
-          python ..\..\..\test\benchmark\igpu-perf\check_csv_results.py --yaml-file config.yaml --suffix test4
+          python ..\..\..\test\benchmark\igpu-perf\check_csv_results.py --yaml-file config.yaml --suffix test3
           if %ERRORLEVEL% neq 0 (exit /b 1)
 
           pip uninstall trl -y
@@ -1256,14 +1231,14 @@ jobs:
         shell: bash
         run: |
           sed -i 's/4096-512/1024-128/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i 's/{today}_test4/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
+          sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
           sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_loadlowbit.yaml
 
       - name: Test on igpu (load_low_bit 1024-128 int4+fp16)
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.36.2
+          pip install transformers==4.37.0
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
@@ -1280,23 +1255,23 @@ jobs:
 
           call conda deactivate
 
-      - name: Prepare igpu perf test for transformers 4.37 (load_low_bit 1024-128 int4+fp16)
+      - name: Prepare igpu perf test for transformers 4.36 (load_low_bit 1024-128 int4+fp16)
         shell: bash
         run: |
           sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_loadlowbit_437.yaml
+          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_loadlowbit_436.yaml
 
-      - name: Test on igpu for transformers 4.37 (load_low_bit 1024-128 int4+fp16)
+      - name: Test on igpu for transformers 4.36 (load_low_bit 1024-128 int4+fp16)
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.37.0
+          pip install transformers==4.36.2
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
 
           cd python\llm\dev\benchmark\all-in-one
-          move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16_loadlowbit_437.yaml config.yaml
+          move ..\..\..\test\benchmark\igpu-perf\1024-128_int4_fp16_loadlowbit_436.yaml config.yaml
           set PYTHONIOENCODING=utf-8
           python run.py >> %CSV_SAVE_PATH%\1024-128_int4_fp16_loadlowbit\log\%LOG_FILE% 2>&1
           if %ERRORLEVEL% neq 0 (exit /b 1)
@@ -1385,7 +1360,7 @@ jobs:
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.36.2
+          pip install transformers==4.37.0
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
@@ -1402,23 +1377,23 @@ jobs:
 
           call conda deactivate
 
-      - name: Prepare igpu perf test for transformers 4.37 (1024-128)
+      - name: Prepare igpu perf test for transformers 4.36 (1024-128)
         shell: bash
         run: |
           sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
-          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_437.yaml
+          sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_436.yaml
 
-      - name: Test on igpu for transformers 4.37 (1024-128)
+      - name: Test on igpu for transformers 4.36 (1024-128)
         shell: cmd
         run: |
           call conda activate igpu-perf
-          pip install transformers==4.37.0
+          pip install transformers==4.36.2
 
           set SYCL_CACHE_PERSISTENT=1
           set BIGDL_LLM_XMX_DISABLED=1
 
           cd python\llm\dev\benchmark\all-in-one
-          move ..\..\..\test\benchmark\igpu-perf\1024-128_437.yaml config.yaml
+          move ..\..\..\test\benchmark\igpu-perf\1024-128_436.yaml config.yaml
           set PYTHONIOENCODING=utf-8
           python run.py >> %CSV_SAVE_PATH%\1024-128\log\%LOG_FILE% 2>&1
           if %ERRORLEVEL% neq 0 (exit /b 1)
@@ -1520,4 +1495,3 @@ jobs:
       #   shell: cmd
       #   run: |
       #     call conda env remove -n igpu-perf -y
-      

python/llm/test/benchmark/arc-perf-test-batch2.yaml

@@ -1,30 +0,0 @@
-repo_id:
-  - 'meta-llama/Llama-2-7b-chat-hf'
-  - 'meta-llama/Llama-2-13b-chat-hf'
-  - 'THUDM/chatglm3-6b-4bit'
-  - 'baichuan-inc/Baichuan2-7B-Chat'
-  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
-  - 'THUDM/glm-4-9b-chat'
-  - 'openbmb/MiniCPM-2B-sft-bf16'
-  - 'Qwen/Qwen-VL-Chat'
-  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
-  - '01-ai/Yi-6B-Chat'
-  - 'mistralai/Mistral-7B-Instruct-v0.2'
-  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
-  - '01-ai/Yi-1.5-6B-Chat'
-local_model_hub: '/mnt/disk1/models'
-warm_up: 1
-num_trials: 3
-num_beams: 1 # default to greedy search
-low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
-batch_size: 2 # default to 1
-in_out_pairs:
-  - '32-32'
-  - '1024-128'
-  - '2048-256'
-test_api:
-  - "transformer_int4_fp16_gpu"  # on Intel GPU
-cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
-exclude:
-  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
-task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/arc-perf-test-batch4.yaml

@@ -1,36 +0,0 @@
-repo_id:
-  - 'meta-llama/Llama-2-7b-chat-hf'
-  - 'meta-llama/Llama-2-13b-chat-hf'
-  - 'THUDM/chatglm3-6b-4bit'
-  - 'baichuan-inc/Baichuan2-7B-Chat'
-  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
-  - 'THUDM/glm-4-9b-chat'
-  - 'openbmb/MiniCPM-2B-sft-bf16'
-  - 'Qwen/Qwen-VL-Chat'
-  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
-  - '01-ai/Yi-6B-Chat'
-  - 'mistralai/Mistral-7B-Instruct-v0.2'
-  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
-  - '01-ai/Yi-1.5-6B-Chat'
-local_model_hub: '/mnt/disk1/models'
-warm_up: 1
-num_trials: 3
-num_beams: 1 # default to greedy search
-low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
-batch_size: 4 # default to 1
-in_out_pairs:
-  - '32-32'
-  - '1024-128'
-  - '2048-256'
-test_api:
-  - "transformer_int4_fp16_gpu"  # on Intel GPU
-cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
-exclude:
-  - 'meta-llama/Llama-2-13b-chat-hf:2048'
-  - 'baichuan-inc/Baichuan2-7B-Chat:2048'
-  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:1024'
-  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
-  - 'Qwen/Qwen-VL-Chat:2048'
-#  - 'fnlp/moss-moon-003-sft-4bit:1024'
-#  - 'fnlp/moss-moon-003-sft-4bit:2048'
-task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/arc-perf-test.yaml

@@ -1,32 +0,0 @@
-repo_id:
-  - 'meta-llama/Llama-2-7b-chat-hf'
-  - 'meta-llama/Llama-2-13b-chat-hf'
-  - 'THUDM/chatglm3-6b-4bit'
-  - 'baichuan-inc/Baichuan2-7B-Chat'
-  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
-  - 'THUDM/glm-4-9b-chat'
-  - 'openbmb/MiniCPM-2B-sft-bf16'
-  - 'Qwen/Qwen-VL-Chat'
-  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
-  - '01-ai/Yi-6B-Chat'
-  - 'mistralai/Mistral-7B-Instruct-v0.2'
-  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
-  - '01-ai/Yi-1.5-6B-Chat'
-local_model_hub: '/mnt/disk1/models'
-warm_up: 1
-num_trials: 3
-num_beams: 1 # default to greedy search
-low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
-batch_size: 1 # default to 1
-in_out_pairs:
-  - '32-32'
-  - '1024-128'
-  - '2048-256'
-test_api:
-  - "transformer_int4_fp16_gpu"  # on Intel GPU
-cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
-exclude:
-#  - 'fnlp/moss-moon-003-sft-4bit:1024'
-#  - 'fnlp/moss-moon-003-sft-4bit:2048'
-  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
-task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/arc-perf-transformers-436-batch2.yaml

@@ -0,0 +1,16 @@
+repo_id:
+  - 'Qwen/Qwen-VL-Chat'
+local_model_hub: '/mnt/disk1/models'
+warm_up: 1
+num_trials: 3
+num_beams: 1 # default to greedy search
+low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
+batch_size: 2 # default to 1
+in_out_pairs:
+  - '32-32'
+  - '1024-128'
+  - '2048-256'
+test_api:
+  - "transformer_int4_fp16_gpu"  # on Intel GPU
+cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/arc-perf-transformers-436-batch4.yaml

@@ -0,0 +1,18 @@
+repo_id:
+  - 'Qwen/Qwen-VL-Chat'
+local_model_hub: '/mnt/disk1/models'
+warm_up: 1
+num_trials: 3
+num_beams: 1 # default to greedy search
+low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
+batch_size: 4 # default to 1
+in_out_pairs:
+  - '32-32'
+  - '1024-128'
+  - '2048-256'
+test_api:
+  - "transformer_int4_fp16_gpu"  # on Intel GPU
+cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+exclude:
+  - 'Qwen/Qwen-VL-Chat:2048'
+task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/arc-perf-transformers-436.yaml

@@ -0,0 +1,16 @@
+repo_id:
+  - 'Qwen/Qwen-VL-Chat'
+local_model_hub: '/mnt/disk1/models'
+warm_up: 1
+num_trials: 3
+num_beams: 1 # default to greedy search
+low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
+batch_size: 1 # default to 1
+in_out_pairs:
+  - '32-32'
+  - '1024-128'
+  - '2048-256'
+test_api:
+  - "transformer_int4_fp16_gpu"  # on Intel GPU
+cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/arc-perf-transformers-437-batch2.yaml

@@ -6,6 +6,18 @@ repo_id:
   - 'microsoft/phi-3-vision-128k-instruct'
   - 'Qwen/Qwen2-7B-Instruct'
   - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'meta-llama/Llama-2-7b-chat-hf'
+  - 'meta-llama/Llama-2-13b-chat-hf'
+  - 'THUDM/chatglm3-6b-4bit'
+  - 'baichuan-inc/Baichuan2-7B-Chat'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
+  - 'THUDM/glm-4-9b-chat'
+  - 'openbmb/MiniCPM-2B-sft-bf16'
+  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
+  - '01-ai/Yi-6B-Chat'
+  - 'mistralai/Mistral-7B-Instruct-v0.2'
+  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
+  - '01-ai/Yi-1.5-6B-Chat'
 local_model_hub: '/mnt/disk1/models'
 warm_up: 1
 num_trials: 3
@@ -19,4 +31,6 @@ in_out_pairs:
 test_api:
   - "transformer_int4_fp16_gpu"  # on Intel GPU
 cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+exclude:
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
 task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/arc-perf-transformers-437-batch4.yaml

@@ -6,6 +6,18 @@ repo_id:
   - 'microsoft/phi-3-vision-128k-instruct'
   - 'Qwen/Qwen2-7B-Instruct'
   - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'meta-llama/Llama-2-7b-chat-hf'
+  - 'meta-llama/Llama-2-13b-chat-hf'
+  - 'THUDM/chatglm3-6b-4bit'
+  - 'baichuan-inc/Baichuan2-7B-Chat'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
+  - 'THUDM/glm-4-9b-chat'
+  - 'openbmb/MiniCPM-2B-sft-bf16'
+  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
+  - '01-ai/Yi-6B-Chat'
+  - 'mistralai/Mistral-7B-Instruct-v0.2'
+  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
+  - '01-ai/Yi-1.5-6B-Chat'
 local_model_hub: '/mnt/disk1/models'
 warm_up: 1
 num_trials: 3
@@ -22,4 +34,8 @@ cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu w
 exclude:
   - 'Qwen/Qwen1.5-7B-Chat:2048'
   - 'meta-llama/Meta-Llama-3-8B-Instruct:2048'
-task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'
+  - 'meta-llama/Llama-2-13b-chat-hf:2048'
+  - 'baichuan-inc/Baichuan2-7B-Chat:2048'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:1024'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
+task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/arc-perf-transformers-437.yaml

@@ -6,6 +6,18 @@ repo_id:
   - 'microsoft/phi-3-vision-128k-instruct'
   - 'Qwen/Qwen2-7B-Instruct'
   - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'meta-llama/Llama-2-7b-chat-hf'
+  - 'meta-llama/Llama-2-13b-chat-hf'
+  - 'THUDM/chatglm3-6b-4bit'
+  - 'baichuan-inc/Baichuan2-7B-Chat'
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
+  - 'THUDM/glm-4-9b-chat'
+  - 'openbmb/MiniCPM-2B-sft-bf16'
+  #- 'SmerkyG/rwkv-5-world-7b' #this model only fp32 is supported for now, fp16 and bf16 are not supported
+  - '01-ai/Yi-6B-Chat'
+  - 'mistralai/Mistral-7B-Instruct-v0.2'
+  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
+  - '01-ai/Yi-1.5-6B-Chat'
 local_model_hub: '/mnt/disk1/models'
 warm_up: 1
 num_trials: 3
@@ -19,4 +31,6 @@ in_out_pairs:
 test_api:
   - "transformer_int4_fp16_gpu"  # on Intel GPU
 cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
+exclude:
+  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
 task: 'continuation' # task can be 'continuation', 'QA' and 'summarize'

python/llm/test/benchmark/core-perf-test.yaml

@@ -3,7 +3,7 @@ repo_id:
   - 'THUDM/chatglm3-6b'
   - 'baichuan-inc/Baichuan2-7B-Chat'
   - 'internlm/internlm-chat-7b'
-  - 'Qwen/Qwen-7B-Chat'
+ # - 'Qwen/Qwen-7B-Chat'  # requires transformers < 4.37.0
   - 'BAAI/AquilaChat2-7B'
   - 'meta-llama/Llama-2-7b-chat-hf'
   - 'WisdomShell/CodeShell-7B'

python/llm/test/benchmark/igpu-perf/1024-128.yaml

@@ -10,9 +10,15 @@ repo_id:
   - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
   - 'RWKV/v5-Eagle-7B-HF'
   - '01-ai/Yi-6B-Chat'
-  - 'Qwen/Qwen-VL-Chat'
   - 'openbmb/MiniCPM-1B-sft-bf16'
   - 'openbmb/MiniCPM-2B-sft-bf16'
+  - 'Qwen/Qwen1.5-7B-Chat'
+  - 'Qwen/Qwen2-1.5B-Instruct'
+  - 'Qwen/Qwen2-7B-Instruct'
+  - 'microsoft/Phi-3-mini-4k-instruct'
+  - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'microsoft/phi-3-vision-128k-instruct'
+  - 'openbmb/MiniCPM-V-2_6'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/1024-128_436.yaml

@@ -1,11 +1,5 @@
 repo_id:
-  - 'Qwen/Qwen1.5-7B-Chat'
-  - 'Qwen/Qwen2-1.5B-Instruct'
-  - 'Qwen/Qwen2-7B-Instruct'
-  - 'microsoft/Phi-3-mini-4k-instruct'
-  - 'microsoft/Phi-3-mini-128k-instruct'
-  - 'microsoft/phi-3-vision-128k-instruct'
-  - 'openbmb/MiniCPM-V-2_6'
+  - 'Qwen/Qwen-VL-Chat'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16.yaml

@@ -9,9 +9,15 @@ repo_id:
   - 'mistralai/Mistral-7B-Instruct-v0.2'
   - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
   - '01-ai/Yi-6B-Chat'
-  - 'Qwen/Qwen-VL-Chat'
   - 'openbmb/MiniCPM-1B-sft-bf16'
   - 'openbmb/MiniCPM-2B-sft-bf16'
+  - 'Qwen/Qwen1.5-7B-Chat'
+  - 'Qwen/Qwen2-1.5B-Instruct'
+  - 'Qwen/Qwen2-7B-Instruct'
+  - 'microsoft/Phi-3-mini-4k-instruct'
+  - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'microsoft/phi-3-vision-128k-instruct'
+  - 'openbmb/MiniCPM-V-2_6'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_436.yaml

@@ -1,11 +1,5 @@
 repo_id:
-  - 'Qwen/Qwen1.5-7B-Chat'
-  - 'Qwen/Qwen2-1.5B-Instruct'
-  - 'Qwen/Qwen2-7B-Instruct'
-  - 'microsoft/Phi-3-mini-4k-instruct'
-  - 'microsoft/Phi-3-mini-128k-instruct'
-  - 'microsoft/phi-3-vision-128k-instruct'
-  - 'openbmb/MiniCPM-V-2_6'
+  - 'Qwen/Qwen-VL-Chat'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_loadlowbit.yaml

@@ -9,9 +9,14 @@ repo_id:
   - 'mistralai/Mistral-7B-Instruct-v0.2'
   - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
   - '01-ai/Yi-6B-Chat'
-  - 'Qwen/Qwen-VL-Chat'
   - 'openbmb/MiniCPM-1B-sft-bf16'
   - 'openbmb/MiniCPM-2B-sft-bf16'
+  - 'Qwen/Qwen1.5-7B-Chat'
+  - 'Qwen/Qwen2-1.5B-Instruct'
+  - 'Qwen/Qwen2-7B-Instruct'
+  - 'microsoft/Phi-3-mini-4k-instruct'
+  - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'microsoft/phi-3-vision-128k-instruct'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/1024-128_int4_fp16_loadlowbit_436.yaml

@@ -1,10 +1,5 @@
 repo_id:
-  - 'Qwen/Qwen1.5-7B-Chat'
-  - 'Qwen/Qwen2-1.5B-Instruct'
-  - 'Qwen/Qwen2-7B-Instruct'
-  - 'microsoft/Phi-3-mini-4k-instruct'
-  - 'microsoft/Phi-3-mini-128k-instruct'
-  - 'microsoft/phi-3-vision-128k-instruct'
+  - 'Qwen/Qwen-VL-Chat'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/2048-256_int4_fp16.yaml

@@ -9,9 +9,15 @@ repo_id:
   - 'mistralai/Mistral-7B-Instruct-v0.2'
   - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
   - '01-ai/Yi-6B-Chat'
-  - 'Qwen/Qwen-VL-Chat'
   - 'openbmb/MiniCPM-1B-sft-bf16'
   - 'openbmb/MiniCPM-2B-sft-bf16'
+  - 'Qwen/Qwen1.5-7B-Chat'
+  - 'Qwen/Qwen2-1.5B-Instruct'
+  - 'Qwen/Qwen2-7B-Instruct'
+  - 'microsoft/Phi-3-mini-4k-instruct'
+  - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'microsoft/phi-3-vision-128k-instruct'
+  - 'openbmb/MiniCPM-V-2_6'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/2048-256_int4_fp16_436.yaml

@@ -1,11 +1,5 @@
 repo_id:
-  - 'Qwen/Qwen1.5-7B-Chat'
-  - 'Qwen/Qwen2-1.5B-Instruct'
-  - 'Qwen/Qwen2-7B-Instruct'
-  - 'microsoft/Phi-3-mini-4k-instruct'
-  - 'microsoft/Phi-3-mini-128k-instruct'
-  - 'microsoft/phi-3-vision-128k-instruct'
-  - 'openbmb/MiniCPM-V-2_6'
+  - 'Qwen/Qwen-VL-Chat'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/3072-384_int4_fp16.yaml

@@ -8,9 +8,15 @@ repo_id:
   - 'mistralai/Mistral-7B-Instruct-v0.2'
   - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
   - '01-ai/Yi-6B-Chat'
-  - 'Qwen/Qwen-VL-Chat'
   - 'openbmb/MiniCPM-1B-sft-bf16'
   - 'openbmb/MiniCPM-2B-sft-bf16'
+  - 'Qwen/Qwen1.5-7B-Chat'
+  - 'Qwen/Qwen2-1.5B-Instruct'
+  - 'Qwen/Qwen2-7B-Instruct'
+  - 'microsoft/Phi-3-mini-4k-instruct'
+  - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'microsoft/phi-3-vision-128k-instruct'
+  - 'openbmb/MiniCPM-V-2_6'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/3072-384_int4_fp16_436.yaml

@@ -1,11 +1,5 @@
 repo_id:
-  - 'Qwen/Qwen1.5-7B-Chat'
-  - 'Qwen/Qwen2-1.5B-Instruct'
-  - 'Qwen/Qwen2-7B-Instruct'
-  - 'microsoft/Phi-3-mini-4k-instruct'
-  - 'microsoft/Phi-3-mini-128k-instruct'
-  - 'microsoft/phi-3-vision-128k-instruct'
-  - 'openbmb/MiniCPM-V-2_6'
+  - 'Qwen/Qwen-VL-Chat'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3
@@ -15,5 +9,5 @@ batch_size: 1 # default to 1
 in_out_pairs:
   - '3072-384'
 test_api:
-  - "transformer_int4_fp16_gpu_win" # on Intel GPU for Windows (catch GPU peak memory)
+  - "transformer_int4_fp16_gpu_win" # on Intel GPU for Windows, use fp16 for non-linear layer
 cpu_embedding: True # whether put embedding to CPU (only avaiable now for gpu win related test_api)

python/llm/test/benchmark/igpu-perf/32-32_int4_fp16.yaml

@@ -9,9 +9,15 @@ repo_id:
   - 'mistralai/Mistral-7B-Instruct-v0.2'
   - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
   - '01-ai/Yi-6B-Chat'
-  - 'Qwen/Qwen-VL-Chat'
   - 'openbmb/MiniCPM-1B-sft-bf16'
   - 'openbmb/MiniCPM-2B-sft-bf16'
+  - 'Qwen/Qwen1.5-7B-Chat'
+  - 'Qwen/Qwen2-1.5B-Instruct'
+  - 'Qwen/Qwen2-7B-Instruct'
+  - 'microsoft/Phi-3-mini-4k-instruct'
+  - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'microsoft/phi-3-vision-128k-instruct'
+  - 'openbmb/MiniCPM-V-2_6'
 local_model_hub: 'path to your local model hub'
 warm_up: 3
 num_trials: 5

python/llm/test/benchmark/igpu-perf/32-32_int4_fp16_436.yaml

@@ -1,11 +1,5 @@
 repo_id:
-  - 'Qwen/Qwen1.5-7B-Chat'
-  - 'Qwen/Qwen2-1.5B-Instruct'
-  - 'Qwen/Qwen2-7B-Instruct'
-  - 'microsoft/Phi-3-mini-4k-instruct'
-  - 'microsoft/Phi-3-mini-128k-instruct'
-  - 'microsoft/phi-3-vision-128k-instruct'
-  - 'openbmb/MiniCPM-V-2_6'
+  - 'Qwen/Qwen-VL-Chat'
 local_model_hub: 'path to your local model hub'
 warm_up: 3
 num_trials: 5

python/llm/test/benchmark/igpu-perf/4096-512_int4_fp16.yaml

@@ -10,6 +10,13 @@ repo_id:
   - '01-ai/Yi-6B-Chat'
   - 'openbmb/MiniCPM-1B-sft-bf16'
   - 'openbmb/MiniCPM-2B-sft-bf16'
+  - 'Qwen/Qwen1.5-7B-Chat'
+  - 'Qwen/Qwen2-1.5B-Instruct'
+  - 'Qwen/Qwen2-7B-Instruct'
+  - 'microsoft/Phi-3-mini-4k-instruct'
+  - 'microsoft/Phi-3-mini-128k-instruct'
+  - 'microsoft/phi-3-vision-128k-instruct'
+  - 'openbmb/MiniCPM-V-2_6'
 local_model_hub: 'path to your local model hub'
 warm_up: 1
 num_trials: 3

python/llm/test/benchmark/igpu-perf/4096-512_int4_fp16_437.yaml

@@ -1,19 +0,0 @@
-repo_id:
-  - 'Qwen/Qwen1.5-7B-Chat'
-  - 'Qwen/Qwen2-1.5B-Instruct'
-  - 'Qwen/Qwen2-7B-Instruct'
-  - 'microsoft/Phi-3-mini-4k-instruct'
-  - 'microsoft/Phi-3-mini-128k-instruct'
-  - 'microsoft/phi-3-vision-128k-instruct'
-  - 'openbmb/MiniCPM-V-2_6'
-local_model_hub: 'path to your local model hub'
-warm_up: 1
-num_trials: 3
-num_beams: 1 # default to greedy search
-low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
-batch_size: 1 # default to 1
-in_out_pairs:
-  - '4096-512'
-test_api:
-  - "transformer_int4_fp16_gpu_win" # on Intel GPU for Windows (catch GPU peak memory)
-cpu_embedding: True # whether put embedding to CPU (only avaiable now for gpu win related test_api)