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Hi,
I'm currently using the following container to serve a transformer model: nvcr.io/nvidia/tritonserver:23.12-py3
When i check the release notes for http://nvcr.io/nvidia/tritonserver:23.12-py3 - i see: TensorRT-LLM version release/0.7.0 here the link: https://docs.nvidia.com/deeplearning/triton-inference-server/release-notes/rel-23-12.html
I also want to serve a large language model - e.g. llama3 guard (https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B). Can i use the container http://nvcr.io/nvidia/tritonserver:23.12-py3 to serve a llama3 model?
How is the following container different from the one above? nvcr.io/nvidia/tritonserver:23.12-trtllm-python-py3
Thanks, Gerald
The text was updated successfully, but these errors were encountered:
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Hi,
I'm currently using the following container to serve a transformer model: nvcr.io/nvidia/tritonserver:23.12-py3
When i check the release notes for http://nvcr.io/nvidia/tritonserver:23.12-py3 - i see: TensorRT-LLM version release/0.7.0
here the link:
https://docs.nvidia.com/deeplearning/triton-inference-server/release-notes/rel-23-12.html
I also want to serve a large language model - e.g. llama3 guard (https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B). Can i use the container http://nvcr.io/nvidia/tritonserver:23.12-py3 to serve a llama3 model?
How is the following container different from the one above?
nvcr.io/nvidia/tritonserver:23.12-trtllm-python-py3
Thanks,
Gerald
The text was updated successfully, but these errors were encountered: