Closed ZhichaoWang970201 closed 3 months ago
Hey @ZhichaoWang970201 -- I think this may be a VLLM issue. You may want to check there, but first, can you share:
@natolambert Thank you in advance. vLLM version: vllm==0.4.0 command: rewardbench-gen --model=mistralai/Mistral-Nemo-Instruct-2407
You should try upgrading VLLM @ZhichaoWang97020, but really this isn't a rewardbench issue as far as I can tell.
I'm going to release a new version later today, I'll bump the VLLM requirement.
@natolambert Hey Nato, it still does not work with the same error "RuntimeError: start (0) + length (1280) exceeds dimension size (1024)." even if I have upgrade vllm to 0.5.0. Which version should be used then?
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ncurses 6.5 h59595ed_0 conda-forge
nest-asyncio 1.6.0 pyhd8ed1ab_0 conda-forge
networkx 3.3 pyhd8ed1ab_1 conda-forge
nh3 0.2.18 pypi_0 pypi
ninja 1.11.1.1 pypi_0 pypi
nltk 3.8.1 pyhd8ed1ab_0 conda-forge
nose 1.3.7 py_1006 conda-forge
notebook 7.2.0 pyhd8ed1ab_0 conda-forge
notebook-shim 0.2.4 pyhd8ed1ab_0 conda-forge
nspr 4.35 h27087fc_0 conda-forge
nss 3.100 hca3bf56_0 conda-forge
numba 0.59.1 py310h7dc5dd1_0 conda-forge
numexpr 2.10.0 mkl_py310ha687524_0 conda-forge
numpy 1.23.5 pypi_0 pypi
numpydoc 1.7.0 pyhd8ed1ab_1 conda-forge
nvidia-cublas-cu12 12.1.3.1 pypi_0 pypi
nvidia-cuda-cupti-cu12 12.1.105 pypi_0 pypi
nvidia-cuda-nvrtc-cu12 12.1.105 pypi_0 pypi
nvidia-cuda-runtime-cu12 12.1.105 pypi_0 pypi
nvidia-cudnn-cu12 8.9.2.26 pypi_0 pypi
nvidia-cufft-cu12 11.0.2.54 pypi_0 pypi
nvidia-curand-cu12 10.3.2.106 pypi_0 pypi
nvidia-cusolver-cu12 11.4.5.107 pypi_0 pypi
nvidia-cusparse-cu12 12.1.0.106 pypi_0 pypi
nvidia-ml-py 12.555.43 pypi_0 pypi
nvidia-nccl-cu12 2.20.5 pypi_0 pypi
nvidia-nvjitlink-cu12 12.6.20 pypi_0 pypi
nvidia-nvtx-cu12 12.1.105 pypi_0 pypi
openai 1.42.0 pypi_0 pypi
opencv-python 4.10.0.82 pypi_0 pypi
openjpeg 2.5.2 h488ebb8_0 conda-forge
openpyxl 3.1.2 py310h2372a71_1 conda-forge
openssl 3.3.1 h4ab18f5_0 conda-forge
orc 2.0.1 h17fec99_1 conda-forge
outlines 0.0.46 pypi_0 pypi
overrides 7.7.0 pyhd8ed1ab_0 conda-forge
packaging 24.1 pypi_0 pypi
pandas 1.5.3 pypi_0 pypi
pandoc 3.2 ha770c72_0 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
pango 1.52.2 ha41ecd1_0 conda-forge
parso 0.8.4 pyhd8ed1ab_0 conda-forge
partd 1.4.2 pyhd8ed1ab_0 conda-forge
path 16.14.0 py310hff52083_0 conda-forge
pathlib2 2.3.7.post1 py310hff52083_3 conda-forge
pathos 0.3.2 pypi_0 pypi
pathspec 0.12.1 pyhd8ed1ab_0 conda-forge
patsy 0.5.6 pyhd8ed1ab_0 conda-forge
pcre 8.45 h9c3ff4c_0 conda-forge
pcre2 10.43 hcad00b1_0 conda-forge
peft 0.12.0 pypi_0 pypi
pexpect 4.9.0 pyhd8ed1ab_0 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pid 3.0.4 pypi_0 pypi
pillow 10.3.0 py310hf73ecf8_0 conda-forge
pip 23.3.2 pyhd8ed1ab_0 conda-forge
pixman 0.43.2 h59595ed_0 conda-forge
pkginfo 1.11.0 pyhd8ed1ab_0 conda-forge
pkgutil-resolve-name 1.3.10 pyhd8ed1ab_1 conda-forge
platformdirs 4.2.2 pyhd8ed1ab_0 conda-forge
plotly 5.22.0 pyhd8ed1ab_0 conda-forge
pluggy 1.5.0 pyhd8ed1ab_0 conda-forge
ply 3.11 pyhd8ed1ab_2 conda-forge
pox 0.3.4 pypi_0 pypi
ppft 1.7.6.8 pypi_0 pypi
prometheus-fastapi-instrumentator 7.0.0 pypi_0 pypi
prometheus_client 0.20.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.46 pyha770c72_0 conda-forge
prompt_toolkit 3.0.46 hd8ed1ab_0 conda-forge
proto-plus 1.24.0 pypi_0 pypi
protobuf 4.25.3 pypi_0 pypi
psutil 5.9.8 py310h2372a71_0 conda-forge
psycopg2 2.9.9 py310h275853b_0 conda-forge
psycopg2-binary 2.9.9 pyhd8ed1ab_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pulseaudio-client 17.0 hb77b528_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
py-cpuinfo 9.0.0 pyhd8ed1ab_0 conda-forge
py-lief 0.14.1 py310h76e45a6_1 conda-forge
py4j 0.10.9.5 pypi_0 pypi
pyairports 2.1.1 pypi_0 pypi
pyarrow 16.1.0 py310h17c5347_1 conda-forge
pyarrow-core 16.1.0 py310h6f79a3a_1_cpu conda-forge
pyarrow-hotfix 0.6 pyhd8ed1ab_0 conda-forge
pyasn1 0.6.0 pypi_0 pypi
pyasn1-modules 0.4.0 pypi_0 pypi
pybind11-abi 4 hd8ed1ab_3 conda-forge
pycodestyle 2.10.0 pyhd8ed1ab_0 conda-forge
pycosat 0.6.6 py310h2372a71_0 conda-forge
pycountry 24.6.1 pypi_0 pypi
pycparser 2.22 pyhd8ed1ab_0 conda-forge
pycryptodome 3.20.0 py310hb0f0acc_0 conda-forge
pycurl 7.45.3 py310h80730c7_1 conda-forge
pydantic 2.8.2 pypi_0 pypi
pydantic-core 2.20.1 pypi_0 pypi
pydocstyle 6.3.0 pyhd8ed1ab_0 conda-forge
pyerfa 2.0.1.4 py310h261611a_1 conda-forge
pyflakes 3.0.1 pyhd8ed1ab_0 conda-forge
pyfunctional 1.5.0 pypi_0 pypi
pygments 2.18.0 pyhd8ed1ab_0 conda-forge
pykerberos 1.2.4 py310h98feede_5 conda-forge
pykrb5 0.5.1 py310h98feede_1 conda-forge
pylint 2.17.7 pyhd8ed1ab_0 conda-forge
pylint-venv 3.0.3 pyhd8ed1ab_0 conda-forge
pyls-spyder 0.4.0 pyhd8ed1ab_0 conda-forge
pynvml 11.5.0 pyhd8ed1ab_0 conda-forge
pyodbc 5.1.0 py310hc6cd4ac_0 conda-forge
pyopenssl 24.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.1.2 pyhd8ed1ab_0 conda-forge
pyqt 5.15.9 py310h04931ad_5 conda-forge
pyqt5-sip 12.12.2 py310hc6cd4ac_5 conda-forge
pyqtwebengine 5.15.9 py310h704022c_5 conda-forge
pyrsistent 0.20.0 py310h2372a71_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
pyspark 3.3.0 pypi_0 pypi
pyspnego 0.10.2 py310hff52083_0 conda-forge
pytables 3.9.2 py310hd76cd5d_2 conda-forge
pytest 8.2.2 pyhd8ed1ab_0 conda-forge
python 3.10.12 hd12c33a_0_cpython conda-forge
python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge
python-dotenv 1.0.1 pypi_0 pypi
python-fastjsonschema 2.19.1 pyhd8ed1ab_0 conda-forge
python-gssapi 1.8.3 py310h98feede_0 conda-forge
python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge
python-lsp-black 2.0.0 pyhd8ed1ab_0 conda-forge
python-lsp-jsonrpc 1.1.2 pyhd8ed1ab_0 conda-forge
python-lsp-server 1.7.4 pyhd8ed1ab_0 conda-forge
python-lsp-server-base 1.7.4 pyhd8ed1ab_0 conda-forge
python-slugify 8.0.4 pyhd8ed1ab_0 conda-forge
python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge
python_abi 3.10 3_cp310 conda-forge
pytoolconfig 1.2.5 pyhd8ed1ab_0 conda-forge
pytz 2024.1 pyhd8ed1ab_0 conda-forge
pywavelets 1.4.1 py310h1f7b6fc_1 conda-forge
pyxdg 0.28 pyhd8ed1ab_0 conda-forge
pyyaml 6.0.1 py310h2372a71_1 conda-forge
pyzmq 26.0.3 py310h6883aea_0 conda-forge
qdarkstyle 3.1 pyhd8ed1ab_0 conda-forge
qstylizer 0.2.3 pyhd8ed1ab_0 conda-forge
qt-main 5.15.8 h112747c_20 conda-forge
qt-webengine 5.15.8 h3e791b3_6 conda-forge
qtawesome 1.3.1 pyh9208f05_0 conda-forge
qtconsole 5.4.4 pyhd8ed1ab_0 conda-forge
qtconsole-base 5.4.4 pyha770c72_0 conda-forge
qtpy 2.4.1 pyhd8ed1ab_0 conda-forge
rav1e 0.6.6 he8a937b_2 conda-forge
ray 2.35.0 pypi_0 pypi
re2 2023.09.01 h7f4b329_2 conda-forge
readline 8.2 h8228510_1 conda-forge
referencing 0.35.1 pyhd8ed1ab_0 conda-forge
regex 2024.5.15 py310hc51659f_0 conda-forge
reproc 14.2.4 h0b41bf4_0 conda-forge
reproc-cpp 14.2.4 hcb278e6_0 conda-forge
requests 2.32.3 pypi_0 pypi
requests-kerberos 0.14.0 pyh707e725_1 conda-forge
rewardbench 0.1.3 dev_0
I think the following error occurs when I run Mistral NEMO 12B. Would you mind fixing that in your github to accommodate this model? Thank you.
rank0: Traceback (most recent call last): rank0: File "/home/ec2-user/anaconda3/bin/rewardbench-gen", line 33, in
rank0: File "/home/ec2-user/SageMaker/Zhichao_experiments/RewardBench/reward-bench/scripts/run_generative.py", line 128, in main rank0: model = LLM(args.model, trust_remote_code=args.trust_remote_code, tensor_parallel_size=args.num_gpus) rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/entrypoints/llm.py", line 144, in init rank0: self.llm_engine = LLMEngine.from_engine_args( rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/engine/llm_engine.py", line 359, in from_engine_args rank0: engine = cls( rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/engine/llm_engine.py", line 222, in init rank0: self.model_executor = executor_class( rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/executor/executor_base.py", line 41, in init
rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/executor/gpu_executor.py", line 24, in _init_executor
rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/worker/worker.py", line 121, in load_model
rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/worker/model_runner.py", line 134, in load_model rank0: self.model = get_model( rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/model_executor/model_loader/init.py", line 21, in get_model rank0: return loader.load_model(model_config=model_config, rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/model_executor/model_loader/loader.py", line 243, in load_model
rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/model_executor/models/llama.py", line 408, in load_weights rank0: weight_loader(param, loaded_weight, shard_id) rank0: File "/home/ec2-user/anaconda3/lib/python3.10/site-packages/vllm/model_executor/layers/linear.py", line 625, in weight_loader rank0: loaded_weight = loaded_weight.narrow(output_dim, start_idx, rank0: RuntimeError: start (0) + length (1280) exceeds dimension size (1024).