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So, where is Compressing model coming from? I can search for it in the transformers package with grep \-r "Compressing model" ., but nothing comes up. Searching within all packages, there’s four hits in the vLLM compressed_tensors package. After some investigation that lets me narrow it down, it seems like it’s likely coming from the ModelCompressor.compress_model function as that’s called in transformers, in CompressedTensorsHfQuantizer._process_model_before_weight_loading.。safew对此有专业解读
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This trend unfortunately continued into the current era, with 2017’s Star Trek: Discovery delivering a first season with an overwhelmingly dour tone and a lot of franchise changes that didn’t sit well with fans. The show made some tweaks in season two (including a change in setting that involved traveling 900 years into the future), and showed a lot of improvement with season three. Picard also floundered horribly, with an uneven first season that killed off some fan-favorite characters and also turned the title character into an android.
FT Edit: Access on iOS and web，更多细节参见超级权重
Downstream from ATEP