Comments (7)
Just pushed an update to address this, let me know if you’re still facing the issue
from worker-vllm.
Yes, that’s the one. My sincere apologies!
from worker-vllm.
I will try! Thanks for your help!
from worker-vllm.
Just pushed an update to address this, let me know if you’re still facing the issue
It seems like wrong branch name
Do you mean old-11.8
and old-12.1
?
from worker-vllm.
from worker-vllm.
Try adding something like this before the build and adjust the values based on your system:
ENV MAX_JOBS=48 # The number of CPU cores you have
ENV NVCC_THREADS=1024 # Changes depending on GPU
from worker-vllm.
Try out 0.2.0, you no longer need to compile vLLM, so the build should be very fast.
from worker-vllm.
Related Issues (20)
- Cannot load Tokenizers for some Models. HOT 2
- Best way to record data HOT 1
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- Runpod serverless vLLM with Llama 3 70B on 40GB GPU HOT 8
- Update documentation to note support for extra parameters HOT 1
- GGUF compatibility HOT 2
- Building Docker with model built in HOT 6
- Got some deprecation notice, might update these HOT 1
- ImportError prepare_hf_model_weights method HOT 2
- Only generates 16 tokens HOT 1
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