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02f7887f17
The main change is that the model config format has changed. To deal with this we have a new script in the converter that will upgrade a model to the new version. Aside from that, we also no longer need to maintain our own fork of Triton since they have fixed the bug with GPT-J models. This should make it a lot easier to stay synced with upstream (although we still have to build our own container since there doesn't seem to be a prebuilt Triton+FT container hosted by NVIDIA). Newer Triton should let us use some nice features: - Support for more models, like GPT-NeoX - Streaming token support (this still needs to be implemented in the proxy though) - Dynamic batching Still TODO: - Proxy support for streaming tokens - Add stuff to setup.sh and launch.sh to detect if a model upgrade is needed and do it automatically.
7 lines
112 B
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7 lines
112 B
Plaintext
fastapi==0.82.0
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numpy==1.23.2
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sse-starlette==1.1.6
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tokenizers==0.12.1
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tritonclient[all]==2.29.0
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uvicorn==0.18.3
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