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feat(server): Rework model loading (huggingface#344)
# What does this PR do? Reworked the loading logic. Idea is to use cleaner loading code: - Remove need for `no_init_weights` - Remove all weird `bnb_linear` and `load_weights` and `post_load_weights`. New code layout: - New class `Weights` in charge of handling loading the weights from multiple files into appropiate tensors (potentially sharded) - TP layers now are "shells", they contain the code to know what kind of sharding we need + eventual `all_reduce`. They do not inherit from linear, but they contain some kind of Linear instead - the contained linear can be either FastLinear, BnbLinear or GPTq Linear next. - All modeling code is explictly made for sharding, process group is just no-ops for non sharded code (removes a lot of test cases)  --------- Co-authored-by: Ubuntu <[email protected]> Co-authored-by: Ubuntu <[email protected]> Co-authored-by: OlivierDehaene <[email protected]> Co-authored-by: OlivierDehaene <[email protected]>
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integration-tests/models/__snapshots__/test_neox/test_neox.json
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