Comments (8)
UIHCRITT
commented on July 20, 2024
1
which is why I was assuming the following error occured for me while installing:
I also have this question
I met this error too, how did you solve it?Thanks!
I gave up, autoawq is more convenient,https://github.com/casper-hansen/AutoAWQ
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Hukongtao
commented on July 20, 2024
I copied the .so file to the current directory and tried again:
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Hukongtao
commented on July 20, 2024
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rdaigle007
commented on July 20, 2024
I also get this error when I try to run the cli after installing AWQ per instructions
(env-fastchat-awq)Russells-MBP:llm-awq $ python3 -m fastchat.serve.cli --model-path models/git-vicuna-7b-awq/ --awq-wbits 4 --awq-groupsize 128
Loading AWQ quantized model...
Error: Failed to import tinychat. No module named 'awq_inference_engine'
Please double check if you have successfully installed AWQ
See https://github.com/lm-sys/FastChat/blob/main/docs/awq.md
Does FastChat only work if one has Nvidia GPU? I do not. My understanding is CUDA is only for Nvidia, which is why I was assuming the following error occured for me while installing:
(env-fastchat-awq)Russells-MBP:llm-awq $ cd awq/kernels/
(env-fastchat-awq)Russells-MBP:kernels $ python setup.py install
Traceback (most recent call last):
File "/Volumes/ExtremePro/fastchat-awq/FastChat/repositories/llm-awq/awq/kernels/setup.py", line 35, in <module>
CUDAExtension(
File "/Volumes/ExtremePro/fastchat-awq/env-fastchat-awq/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 1076, in CUDAExtension
library_dirs += library_paths(cuda=True)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/Volumes/ExtremePro/fastchat-awq/env-fastchat-awq/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 1203, in library_paths
if (not os.path.exists(_join_cuda_home(lib_dir)) and
^^^^^^^^^^^^^^^^^^^^^^^^
File "/Volumes/ExtremePro/fastchat-awq/env-fastchat-awq/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 2416, in _join_cuda_home
raise OSError('CUDA_HOME environment variable is not set. '
OSError: CUDA_HOME environment variable is not set. Please set it to your CUDA install root.
(env-fastchat-awq)Russells-MBP:kernels $
(env-fastchat-awq)Russells-MBP:fastchat-awq $
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UIHCRITT
commented on July 20, 2024
which is why I was assuming the following error occured for me while installing:
I also have this question
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Yan0613
commented on July 20, 2024
which is why I was assuming the following error occured for me while installing:
I also have this question
I met this error too, how did you solve it?Thanks!
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Stark-zheng
commented on July 20, 2024
I copied the .so file to the current directory and tried again:
Where did you get this file?
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Yan0613
commented on July 20, 2024
which is why I was assuming the following error occured for me while installing:
I also have this question
I met this error too, how did you solve it?Thanks!
I gave up, autoawq is more convenient,https://github.com/casper-hansen/AutoAWQ
OK, thanks!
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Related Issues (20)
- No module named 'awq_inference_engine' HOT 2
- No such file or directory: "VILA1.5-13b-AWQ/llm/model-00001-of-00006.safetensors" HOT 8
- tinychat.serve.model_worker_new.py AWQ model in training mode
- how to support to custom module like mla in deep-seek-v2
- openAI-compatible tinychat API?
- AWQ kernel Issue
- Can you provide examples code to run inference on video QA? HOT 2
- AWQ and VILA dependency compatible issue HOT 2
- google.protobuf.message.DecodeError: Error parsing message HOT 1
- Is this a bug for the quantization phase? HOT 1
- Rocm support request
- Invalid Characters
- Memory increases significantly during inference
- Invalid Compute Capability when building Docker pytorch:23.12 HOT 1
- Request for Semi-Structured Sparse Matrix Support in AWQ Kernel
- Illegal memory access for LLama-3-70B
- 显卡要求
- How to load and infer the VILA-1.5-40B-AWQ model on multiple GPUs? I currently have 4 A30✖️24GB GPUs and a cuda out of memory error occurs.
- Add support for GPUs with compute capability lower than 8.0 for awq/kernels installation
- Plans for running model on other devices?
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