Quality issues with AWQ Model
Using any image and the following messages:
messages = [
{
"role": "user",
"content": [
{"type": "image", "image": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTJ86z-teS8dJImu-e5stQoBOrGmmurWTQZ2Q&s"},
{"type": "text", "text": "Describe this image."},
],
}
]
Image:
Using flash attention or without it, but using torch.float16 for AWQ:
import torch
from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor
model_path = "Qwen/Qwen2.5-VL-32B-Instruct-AWQ"
original_model_path = "Qwen/Qwen2.5-VL-32B-Instruct"
model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
"Qwen/Qwen2.5-VL-32B-Instruct-AWQ",
torch_dtype=torch.float16,
#attn_implementation="flash_attention_2",
device_map="auto",
)
min_pixels = 256 * 28 * 28
max_pixels = 1280 * 28 * 28
processor = AutoProcessor.from_pretrained(
"Qwen/Qwen2.5-VL-32B-Instruct", min_pixels=min_pixels, max_pixels=max_pixels
)
# Preparation for inference
text = processor.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
image_inputs, video_inputs = process_vision_info(messages)
inputs = processor(
text=[text],
images=image_inputs,
videos=video_inputs,
padding=True,
return_tensors="pt",
)
# Move inputs to the same device as the model and convert to bfloat16
inputs = inputs.to(model.device)
# Inference: Generation of the output
generated_ids = model.generate(**inputs, max_new_tokens=128)
generated_ids_trimmed = [
out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
]
output_text = processor.batch_decode(
generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
)
print(output_text)
I'm getting always the same response, a bunch of gibberish: ["!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!....and so on"]
Not even a simple instruction can be processed, it seems the weights uploaded are not proper.
We have verified that the SHA256 checksum of the uploaded checkpoint matches correctly, and the code runs successfully in our local environment. The output is:
['The image shows a screenshot of a GitHub issue page. Here is a detailed description:\n\n### **Key Elements:**\n1. **Repository and Issue Number:**\n - The issue is from the repository **QwenLM/Qwen2.5-VL**.\n - The issue is labeled as **#230**, indicating it is the 230th issue in the repository.\n\n2. **Issue Title:**\n - The title of the issue is: **"Error on running Qwen/Qwen2-VL-72B-Instruct-AWQ"**.\n - This suggests that the user is']
The issue might be related to your environment setup? For environment installation guidelines, please refer to: https://github.com/QwenLM/Qwen2.5-VL/issues/875#issuecomment-2703109164
If the problem persists, please provide more details about your environment configuration so we can better assist you.
目前我运行官方示例出现同样问题，按照环境要求配置了环境
PyTorch version: 2.5.1+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.6 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version: Could not collect
CMake version: version 3.19.3
Libc version: glibc-2.31
Python version: 3.10.15 (main, Oct 3 2024, 07:27:34) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 12.4.131
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA RTX A6000
Nvidia driver version: 550.120
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.9.1.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.1.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.1.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.1.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.1.0
/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.1.0
/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.1.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.1.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 48 bits physical, 48 bits virtual
CPU(s): 256
On-line CPU(s) list: 0-15
Off-line CPU(s) list: 16-255
Thread(s) per core: 0
Core(s) per socket: 64
Socket(s): 2
NUMA node(s): 2
Vendor ID: AuthenticAMD
CPU family: 25
Model: 1
Model name: AMD EPYC 7763 64-Core Processor
Stepping: 1
Frequency boost: enabled
CPU MHz: 1500.000
CPU max MHz: 3529.0520
CPU min MHz: 1500.0000
BogoMIPS: 4890.84
Virtualization: AMD-V
L1d cache: 2 MiB
L1i cache: 2 MiB
L2 cache: 32 MiB
L3 cache: 256 MiB
NUMA node0 CPU(s): 0-63,128-191
NUMA node1 CPU(s): 64-127,192-255
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 invpcid_single hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm
Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-cuda-cupti-cu12==12.4.127
[pip3] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3] nvidia-cuda-runtime-cu12==12.4.127
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.2.1.3
[pip3] nvidia-curand-cu12==10.3.5.147
[pip3] nvidia-cusolver-cu12==11.6.1.9
[pip3] nvidia-cusparse-cu12==12.3.1.170
[pip3] nvidia-ml-py==12.560.30
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] onnx==1.17.0
[pip3] onnxruntime==1.20.1
[pip3] pyzmq==26.2.0
[pip3] torch==2.5.1+cu124
[pip3] torch-tb-profiler==0.4.3
[pip3] torchaudio==2.5.1+cu124
[pip3] torchvision==0.20.1+cu124
[pip3] transformers==4.51.0.dev0
[pip3] triton==3.2.0
[conda] numpy 1.26.4 py310hb13e2d6_0 conda-forge
[conda] nvidia-cublas-cu12 12.4.5.8 pypi_0 pypi
[conda] nvidia-cuda-cupti-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cuda-nvrtc-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cuda-runtime-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cudnn-cu12 9.1.0.70 pypi_0 pypi
[conda] nvidia-cufft-cu12 11.2.1.3 pypi_0 pypi
[conda] nvidia-curand-cu12 10.3.5.147 pypi_0 pypi
[conda] nvidia-cusolver-cu12 11.6.1.9 pypi_0 pypi
[conda] nvidia-cusparse-cu12 12.3.1.170 pypi_0 pypi
[conda] nvidia-ml-py 12.560.30 pypi_0 pypi
[conda] nvidia-nccl-cu12 2.21.5 pypi_0 pypi
[conda] nvidia-nvjitlink-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-nvtx-cu12 12.4.127 pypi_0 pypi
[conda] pyzmq 26.2.0 pypi_0 pypi
[conda] torch 2.5.1+cu124 pypi_0 pypi
[conda] torch-tb-profiler 0.4.3 pypi_0 pypi
[conda] torchaudio 2.5.1+cu124 pypi_0 pypi
[conda] torchvision 0.20.1+cu124 pypi_0 pypi
[conda] transformers 4.51.0.dev0 pypi_0 pypi
[conda] triton 3.2.0 pypi_0 pypi
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.6.4.post1
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X N/A
Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
NVIDIA_VISIBLE_DEVICES=GPU-367b9312-1555-5a39-aa32-6b6751fc14e5
NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
NCCL_VERSION=2.21.5-1
NVIDIA_DRIVER_CAPABILITIES=all
NVIDIA_PRODUCT_NAME=CUDA
CUDA_VERSION=12.4.1
LD_LIBRARY_PATH=/usr/local/lib/python3.10/site-packages/cv2/../../lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
TORCH_HOME=/output/.torch
CUDA_MODULE_LOADING=LAZY
@chenkq thanks for the quick reply, I've tried the installation order from the issue but the model still generates gibberish. Here is a link to the Colab, it was tested on A100 High RAM.
And the public link so you can execute the same environment. -> https://colab.research.google.com/drive/1dwIAOo5iuEBMeGxXN2-ek-psAL1u15iC?usp=sharing
Here is the information of the system on Google Colab:
=== PYTHON INFORMATION ===
Python version: 3.11.11 (main, Dec 4 2024, 08:55:07) [GCC 11.4.0]
Platform: Linux-6.1.85+-x86_64-with-glibc2.35
Processor: x86_64
=== INSTALLED PACKAGES ===
Package Version
---------------------------------- -------------------
absl-py 1.4.0
accelerate 1.5.2
aiohappyeyeballs 2.6.1
aiohttp 3.11.14
aiosignal 1.3.2
alabaster 1.0.0
albucore 0.0.23
albumentations 2.0.5
ale-py 0.10.2
altair 5.5.0
annotated-types 0.7.0
anyio 4.9.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
array_record 0.7.1
arviz 0.21.0
astropy 7.0.1
astropy-iers-data 0.2025.3.17.0.34.53
astunparse 1.6.3
atpublic 5.1
attrs 25.3.0
audioread 3.0.1
autoawq 0.2.8
autograd 1.7.0
av 14.2.0
babel 2.17.0
backcall 0.2.0
beautifulsoup4 4.13.3
betterproto 2.0.0b6
bigframes 1.41.0
bigquery-magics 0.8.0
bleach 6.2.0
blinker 1.9.0
blis 1.2.0
blosc2 3.2.0
bokeh 3.6.3
Bottleneck 1.4.2
bqplot 0.12.44
branca 0.8.1
CacheControl 0.14.2
cachetools 5.5.2
catalogue 2.0.10
certifi 2025.1.31
cffi 1.17.1
chardet 5.2.0
charset-normalizer 3.4.1
chex 0.1.89
clarabel 0.10.0
click 8.1.8
cloudpathlib 0.21.0
cloudpickle 3.1.1
cmake 3.31.6
cmdstanpy 1.2.5
colorcet 3.1.0
colorlover 0.3.0
colour 0.1.5
community 1.0.0b1
confection 0.1.5
cons 0.4.6
contourpy 1.3.1
cramjam 2.9.1
cryptography 43.0.3
cuda-python 12.6.2.post1
cudf-cu12 25.2.1
cudf-polars-cu12 25.2.2
cufflinks 0.17.3
cuml-cu12 25.2.1
cupy-cuda12x 13.3.0
cuvs-cu12 25.2.1
cvxopt 1.3.2
cvxpy 1.6.4
cycler 0.12.1
cyipopt 1.5.0
cymem 2.0.11
Cython 3.0.12
dask 2024.12.1
dask-cuda 25.2.0
dask-cudf-cu12 25.2.2
dask-expr 1.1.21
datascience 0.17.6
datasets 3.4.1
db-dtypes 1.4.2
dbus-python 1.2.18
debugpy 1.8.0
decorator 4.4.2
decord 0.6.0
defusedxml 0.7.1
Deprecated 1.2.18
diffusers 0.32.2
dill 0.3.8
distributed 2024.12.1
distributed-ucxx-cu12 0.42.0
distro 1.9.0
dlib 19.24.2
dm-tree 0.1.9
docker-pycreds 0.4.0
docstring_parser 0.16
docutils 0.21.2
dopamine_rl 4.1.2
duckdb 1.2.1
earthengine-api 1.5.7
easydict 1.13
editdistance 0.8.1
eerepr 0.1.1
einops 0.8.1
en_core_web_sm 3.8.0
entrypoints 0.4
et_xmlfile 2.0.0
etils 1.12.2
etuples 0.3.9
Farama-Notifications 0.0.4
fastai 2.7.19
fastcore 1.7.29
fastdownload 0.0.7
fastjsonschema 2.21.1
fastprogress 1.0.3
fastrlock 0.8.3
filelock 3.18.0
firebase-admin 6.7.0
flash_attn 2.7.4.post1
Flask 3.1.0
flatbuffers 25.2.10
flax 0.10.4
folium 0.19.5
fonttools 4.56.0
frozendict 2.4.6
frozenlist 1.5.0
fsspec 2024.12.0
future 1.0.0
gast 0.6.0
gcsfs 2025.3.0
GDAL 3.6.4
gdown 5.2.0
geemap 0.35.3
gekko 1.2.1
geocoder 1.38.1
geographiclib 2.0
geopandas 1.0.1
geopy 2.4.1
gin-config 0.5.0
gitdb 4.0.12
GitPython 3.1.44
glob2 0.7
google 2.0.3
google-ai-generativelanguage 0.6.15
google-api-core 2.24.2
google-api-python-client 2.164.0
google-auth 2.38.0
google-auth-httplib2 0.2.0
google-auth-oauthlib 1.2.1
google-cloud-aiplatform 1.84.0
google-cloud-bigquery 3.29.0
google-cloud-bigquery-connection 1.18.2
google-cloud-bigquery-storage 2.29.1
google-cloud-bigtable 2.30.0
google-cloud-core 2.4.3
google-cloud-dataproc 5.18.1
google-cloud-datastore 2.20.2
google-cloud-firestore 2.20.1
google-cloud-functions 1.20.2
google-cloud-iam 2.18.3
google-cloud-language 2.17.1
google-cloud-pubsub 2.29.0
google-cloud-resource-manager 1.14.2
google-cloud-spanner 3.53.0
google-cloud-storage 2.19.0
google-cloud-translate 3.20.2
google-colab 1.0.0
google-crc32c 1.7.0
google-genai 1.7.0
google-generativeai 0.8.4
google-pasta 0.2.0
google-resumable-media 2.7.2
google-spark-connect 0.5.2
googleapis-common-protos 1.69.2
googledrivedownloader 1.1.0
graphviz 0.20.3
greenlet 3.1.1
grpc-google-iam-v1 0.14.2
grpc-interceptor 0.15.4
grpcio 1.71.0
grpcio-status 1.71.0
grpclib 0.4.7
gspread 6.2.0
gspread-dataframe 4.0.0
gym 0.25.2
gym-notices 0.0.8
gymnasium 1.1.1
h11 0.14.0
h2 4.2.0
h5netcdf 1.6.1
h5py 3.13.0
hdbscan 0.8.40
highspy 1.9.0
holidays 0.69
holoviews 1.20.2
hpack 4.1.0
html5lib 1.1
httpcore 1.0.7
httpimport 1.4.1
httplib2 0.22.0
httpx 0.28.1
huggingface-hub 0.29.3
humanize 4.12.1
hyperframe 6.1.0
hyperopt 0.2.7
ibis-framework 9.5.0
idna 3.10
imageio 2.37.0
imageio-ffmpeg 0.6.0
imagesize 1.4.1
imbalanced-learn 0.13.0
immutabledict 4.2.1
importlib_metadata 8.6.1
importlib_resources 6.5.2
imutils 0.5.4
inflect 7.5.0
iniconfig 2.1.0
intel-cmplr-lib-ur 2025.1.0
intel-openmp 2025.1.0
ipyevents 2.0.2
ipyfilechooser 0.6.0
ipykernel 6.17.1
ipyleaflet 0.19.2
ipyparallel 8.8.0
ipython 7.34.0
ipython-genutils 0.2.0
ipython-sql 0.5.0
ipytree 0.2.2
ipywidgets 7.7.1
itsdangerous 2.2.0
jax 0.5.2
jax-cuda12-pjrt 0.5.1
jax-cuda12-plugin 0.5.1
jaxlib 0.5.1
jeepney 0.7.1
jellyfish 1.1.0
jieba 0.42.1
Jinja2 3.1.6
jiter 0.9.0
joblib 1.4.2
jsonpatch 1.33
jsonpickle 4.0.2
jsonpointer 3.0.0
jsonschema 4.23.0
jsonschema-specifications 2024.10.1
jupyter-client 6.1.12
jupyter-console 6.1.0
jupyter_core 5.7.2
jupyter-leaflet 0.19.2
jupyter-server 1.16.0
jupyterlab_pygments 0.3.0
jupyterlab_widgets 3.0.13
kaggle 1.7.4.2
kagglehub 0.3.10
keras 3.8.0
keras-hub 0.18.1
keras-nlp 0.18.1
keyring 23.5.0
kiwisolver 1.4.8
langchain 0.3.21
langchain-core 0.3.47
langchain-text-splitters 0.3.7
langcodes 3.5.0
langsmith 0.3.18
language_data 1.3.0
launchpadlib 1.10.16
lazr.restfulclient 0.14.4
lazr.uri 1.0.6
lazy_loader 0.4
libclang 18.1.1
libcudf-cu12 25.2.1
libcugraph-cu12 25.2.0
libcuml-cu12 25.2.1
libcuvs-cu12 25.2.1
libkvikio-cu12 25.2.1
libraft-cu12 25.2.0
librosa 0.11.0
libucx-cu12 1.18.0
libucxx-cu12 0.42.0
lightgbm 4.5.0
linkify-it-py 2.0.3
llvmlite 0.43.0
locket 1.0.0
logical-unification 0.4.6
lxml 5.3.1
Mako 1.1.3
marisa-trie 1.2.1
Markdown 3.7
markdown-it-py 3.0.0
MarkupSafe 3.0.2
matplotlib 3.10.0
matplotlib-inline 0.1.7
matplotlib-venn 1.1.2
mdit-py-plugins 0.4.2
mdurl 0.1.2
miniKanren 1.0.3
missingno 0.5.2
mistune 3.1.3
mizani 0.13.1
mkl 2025.0.1
ml-dtypes 0.4.1
mlxtend 0.23.4
more-itertools 10.6.0
moviepy 1.0.3
mpmath 1.3.0
msgpack 1.1.0
multidict 6.2.0
multipledispatch 1.0.0
multiprocess 0.70.16
multitasking 0.0.11
murmurhash 1.0.12
music21 9.3.0
namex 0.0.8
narwhals 1.31.0
natsort 8.4.0
nbclassic 1.2.0
nbclient 0.10.2
nbconvert 7.16.6
nbformat 5.10.4
ndindex 1.9.2
nest-asyncio 1.6.0
networkx 3.4.2
nibabel 5.3.2
nltk 3.9.1
notebook 6.5.7
notebook_shim 0.2.4
numba 0.60.0
numba-cuda 0.2.0
numexpr 2.10.2
numpy 2.0.2
nvidia-cublas-cu12 12.4.5.8
nvidia-cuda-cupti-cu12 12.4.127
nvidia-cuda-nvcc-cu12 12.5.82
nvidia-cuda-nvrtc-cu12 12.4.127
nvidia-cuda-runtime-cu12 12.4.127
nvidia-cudnn-cu12 9.1.0.70
nvidia-cufft-cu12 11.2.1.3
nvidia-curand-cu12 10.3.5.147
nvidia-cusolver-cu12 11.6.1.9
nvidia-cusparse-cu12 12.3.1.170
nvidia-cusparselt-cu12 0.6.2
nvidia-ml-py 12.570.86
nvidia-nccl-cu12 2.21.5
nvidia-nvcomp-cu12 4.2.0.11
nvidia-nvjitlink-cu12 12.4.127
nvidia-nvtx-cu12 12.4.127
nvtx 0.2.11
nx-cugraph-cu12 25.2.0
oauth2client 4.1.3
oauthlib 3.2.2
openai 1.68.2
opencv-contrib-python 4.11.0.86
opencv-python 4.11.0.86
opencv-python-headless 4.11.0.86
openpyxl 3.1.5
opentelemetry-api 1.31.1
opentelemetry-sdk 1.31.1
opentelemetry-semantic-conventions 0.52b1
opt_einsum 3.4.0
optax 0.2.4
optree 0.14.1
orbax-checkpoint 0.11.10
orjson 3.10.15
osqp 0.6.7.post3
packaging 24.2
pandas 2.2.2
pandas-datareader 0.10.0
pandas-gbq 0.28.0
pandas-stubs 2.2.2.240909
pandocfilters 1.5.1
panel 1.6.1
param 2.2.0
parso 0.8.4
parsy 2.1
partd 1.4.2
pathlib 1.0.1
patsy 1.0.1
peewee 3.17.9
peft 0.14.0
pexpect 4.9.0
pickleshare 0.7.5
pillow 11.1.0
pip 24.1.2
platformdirs 4.3.7
plotly 5.24.1
plotnine 0.14.5
pluggy 1.5.0
ply 3.11
polars 1.21.0
pooch 1.8.2
portpicker 1.5.2
preshed 3.0.9
prettytable 3.15.1
proglog 0.1.10
progressbar2 4.5.0
prometheus_client 0.21.1
promise 2.3
prompt_toolkit 3.0.50
propcache 0.3.0
prophet 1.1.6
proto-plus 1.26.1
protobuf 5.29.4
psutil 5.9.5
psycopg2 2.9.10
ptyprocess 0.7.0
py-cpuinfo 9.0.0
py4j 0.10.9.7
pyarrow 18.1.0
pyasn1 0.6.1
pyasn1_modules 0.4.1
pycairo 1.27.0
pycocotools 2.0.8
pycparser 2.22
pydantic 2.10.6
pydantic_core 2.27.2
pydata-google-auth 1.9.1
pydot 3.0.4
pydotplus 2.0.2
PyDrive 1.3.1
PyDrive2 1.21.3
pyerfa 2.0.1.5
pygame 2.6.1
pygit2 1.17.0
Pygments 2.18.0
PyGObject 3.42.0
PyJWT 2.10.1
pylibcudf-cu12 25.2.1
pylibcugraph-cu12 25.2.0
pylibraft-cu12 25.2.0
pymc 5.21.1
pymystem3 0.2.0
pynndescent 0.5.13
pynvjitlink-cu12 0.5.2
pynvml 12.0.0
pyogrio 0.10.0
Pyomo 6.8.2
PyOpenGL 3.1.9
pyOpenSSL 24.2.1
pyparsing 3.2.1
pyperclip 1.9.0
pyproj 3.7.1
pyshp 2.3.1
PySocks 1.7.1
pyspark 3.5.5
pytensor 2.28.3
pytest 8.3.5
python-apt 0.0.0
python-box 7.3.2
python-dateutil 2.8.2
python-louvain 0.16
python-slugify 8.0.4
python-snappy 0.7.3
python-utils 3.9.1
pytz 2025.1
pyviz_comms 3.0.4
PyYAML 6.0.2
pyzmq 24.0.1
qdldl 0.1.7.post5
qwen-vl-utils 0.0.10
raft-dask-cu12 25.2.0
rapids-dask-dependency 25.2.0
ratelim 0.1.6
referencing 0.36.2
regex 2024.11.6
requests 2.32.3
requests-oauthlib 2.0.0
requests-toolbelt 1.0.0
requirements-parser 0.9.0
rich 13.9.4
rmm-cu12 25.2.0
roman-numerals-py 3.1.0
rpds-py 0.23.1
rpy2 3.5.17
rsa 4.9
safetensors 0.5.3
scikit-image 0.25.2
scikit-learn 1.6.1
scipy 1.14.1
scooby 0.10.0
scs 3.2.7.post2
seaborn 0.13.2
SecretStorage 3.3.1
Send2Trash 1.8.3
sentence-transformers 3.4.1
sentencepiece 0.2.0
sentry-sdk 2.24.0
setproctitle 1.3.5
setuptools 75.1.0
shap 0.47.0
shapely 2.0.7
shellingham 1.5.4
simple-parsing 0.1.7
simplejson 3.20.1
simsimd 6.2.1
six 1.17.0
sklearn-compat 0.1.3
sklearn-pandas 2.2.0
slicer 0.0.8
smart-open 7.1.0
smmap 5.0.2
sniffio 1.3.1
snowballstemmer 2.2.0
sortedcontainers 2.4.0
soundfile 0.13.1
soupsieve 2.6
soxr 0.5.0.post1
spacy 3.8.4
spacy-legacy 3.0.12
spacy-loggers 1.0.5
spanner-graph-notebook 1.1.5
Sphinx 8.2.3
sphinxcontrib-applehelp 2.0.0
sphinxcontrib-devhelp 2.0.0
sphinxcontrib-htmlhelp 2.1.0
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 2.0.0
sphinxcontrib-serializinghtml 2.0.0
SQLAlchemy 2.0.39
sqlglot 25.20.2
sqlparse 0.5.3
srsly 2.5.1
stanio 0.5.1
statsmodels 0.14.4
stringzilla 3.12.3
sympy 1.13.1
tables 3.10.2
tabulate 0.9.0
tbb 2022.1.0
tblib 3.0.0
tcmlib 1.3.0
tenacity 9.0.0
tensorboard 2.18.0
tensorboard-data-server 0.7.2
tensorflow 2.18.0
tensorflow-datasets 4.9.8
tensorflow-hub 0.16.1
tensorflow-io-gcs-filesystem 0.37.1
tensorflow-metadata 1.16.1
tensorflow-probability 0.25.0
tensorflow-text 2.18.1
tensorstore 0.1.72
termcolor 2.5.0
terminado 0.18.1
text-unidecode 1.3
textblob 0.19.0
tf_keras 2.18.0
tf-slim 1.1.0
thinc 8.3.4
threadpoolctl 3.6.0
tifffile 2025.3.13
timm 1.0.15
tinycss2 1.4.0
tokenizers 0.21.1
toml 0.10.2
toolz 0.12.1
torch 2.6.0+cu124
torchaudio 2.6.0+cu124
torchsummary 1.5.1
torchvision 0.21.0+cu124
tornado 6.4.2
tqdm 4.67.1
traitlets 5.7.1
traittypes 0.2.1
transformers 4.51.0.dev0
treelite 4.4.1
treescope 0.1.9
triton 3.2.0
tweepy 4.15.0
typeguard 4.4.2
typer 0.15.2
types-pytz 2025.1.0.20250318
types-setuptools 76.0.0.20250313
typing_extensions 4.12.2
tzdata 2025.1
tzlocal 5.3.1
uc-micro-py 1.0.3
ucx-py-cu12 0.42.0
ucxx-cu12 0.42.0
umap-learn 0.5.7
umf 0.10.0
uritemplate 4.1.1
urllib3 2.3.0
vega-datasets 0.9.0
wadllib 1.3.6
wandb 0.19.8
wasabi 1.1.3
wcwidth 0.2.13
weasel 0.4.1
webcolors 24.11.1
webencodings 0.5.1
websocket-client 1.8.0
websockets 15.0.1
Werkzeug 3.1.3
wheel 0.45.1
widgetsnbextension 3.6.10
wordcloud 1.9.4
wrapt 1.17.2
xarray 2025.1.2
xarray-einstats 0.8.0
xgboost 2.1.4
xlrd 2.0.1
xxhash 3.5.0
xyzservices 2025.1.0
yarl 1.18.3
yellowbrick 1.5
yfinance 0.2.55
zict 3.0.0
zipp 3.21.0
zstandard 0.23.0
=== SYSTEM INFORMATION ===
CPU INFO:
processor : 0
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 0
cpu cores : 6
apicid : 0
initial apicid : 0
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 1
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 1
cpu cores : 6
apicid : 2
initial apicid : 2
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 2
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 2
cpu cores : 6
apicid : 4
initial apicid : 4
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 3
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 3
cpu cores : 6
apicid : 6
initial apicid : 6
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 4
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 4
cpu cores : 6
apicid : 8
initial apicid : 8
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 5
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 5
cpu cores : 6
apicid : 10
initial apicid : 10
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 6
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 0
cpu cores : 6
apicid : 1
initial apicid : 1
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 7
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 1
cpu cores : 6
apicid : 3
initial apicid : 3
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 8
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 2
cpu cores : 6
apicid : 5
initial apicid : 5
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 9
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 3
cpu cores : 6
apicid : 7
initial apicid : 7
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 10
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 4
cpu cores : 6
apicid : 9
initial apicid : 9
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
processor : 11
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 7
microcode : 0xffffffff
cpu MHz : 2200.214
cache size : 39424 KB
physical id : 0
siblings : 12
core id : 5
cpu cores : 6
apicid : 11
initial apicid : 11
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs taa mmio_stale_data retbleed eibrs_pbrsb bhi
bogomips : 4400.42
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
MEMORY INFO:
total used free shared buff/cache available
Mem: 83Gi 3.6Gi 24Gi 21Mi 55Gi 78Gi
Swap: 0B 0B 0B
GPU INFO:
Thu Mar 27 14:55:47 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA A100-SXM4-40GB Off | 00000000:00:04.0 Off | 0 |
| N/A 30C P0 47W / 400W | 19751MiB / 40960MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
+-----------------------------------------------------------------------------------------+
@chenkq I have confirmed the problem is because of library mismatches and some library around AutoAWQ probably I did not dig much into it, but I had a Dockerfile with dependencies corrections for transformers 4.47.0 that I made a couple weeks ago for Qwen 2.5 VL 7b AWQ, using the same dockerfile it worked perfectly, but I cannot tell if the current model works with the current documentation, at least in linux.