Upstream changes for v0.7.0 release - #134
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nv-pranjald
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Signed-off-by: Shubhadeep Das <shubhadeepd@nvidia.com>
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Looks good, thanks Shubhadeep
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Previously we tokenized and counted tokens to stop when max tokens was reached. Now we let the mistral.rs engine do it which saves the extra tokenization step. Also dynamo-run prints which engines are compiled in in help message, and some minor lint fixes.
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This release switches all examples to use cloud hosted GPU accelerated LLM and embedding models from Nvidia API Catalog as default. It also deprecates support to deploy on-prem models using NeMo Inference Framework Container and adds support to deploy accelerated generative AI models across the cloud, data center, and workstation using latest Nvidia NIM-LLM.
For detailed changes please refer to CHANGELOG.md file.