expand coverage of gpt2 models#271
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zhuohan123 merged 1 commit intovllm-project:mainfrom Jun 27, 2023
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LGTM! Thanks for your contribution!
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includes the NOTICE file alongside the license files in the nm-vllm*.dist-info directory
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Attn MetaData was hard coded to bfloat16, leading to a runtime error for float32 model instantiation.
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use_beam_search is no longer in sampling params
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### What this PR does / why we need it? Re-arch on tutorials, move singe npu / multi npu / multi node to index. - Unifiy docker run cmd - Use dropdown to hide build from source installation doc - Re-arch tutorials to include Qwen/QwQ/DeepSeek - Make QwQ doc works ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? CI test Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
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### What this PR does / why we need it? Re-arch on tutorials, move singe npu / multi npu / multi node to index. - Unifiy docker run cmd - Use dropdown to hide build from source installation doc - Re-arch tutorials to include Qwen/QwQ/DeepSeek - Make QwQ doc works ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? CI test Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
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Thanks for the amazing project!
I noticed some gpt2 models have different naming of weights from https://huggingface.co/gpt2
For example, DialoGPT-small and mGPT are saved in a way that
transformer.prefix is already prepended and also masked_bias is saved.Therefore, it causes errors such as
KeyError: 'transformer.transformer.wte.weight'.This PR fixes these errors in model loading by checking
transformer.prefix and ignoring masked_bias.