Philipp MoritzandPernekhan Utemuratov 31348dff03 Align LoRA code between Mistral and Mixtral (fixes #2875) (#2880) ...

* Fix AttributeError: MixtralModel object has no attribute org_vocab_size.

* Make LoRA logic for Mistral and Mixtral the same

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Co-authored-by: Pernekhan Utemuratov <pernekhan@deepinfra.com>

2024-02-15 01:00:43 +01:00

..

layers

Revert "Refactor llama family models (#2637)" (#2851)

2024-02-13 09:24:59 -08:00

models

Align LoRA code between Mistral and Mixtral (fixes #2875) (#2880)

2024-02-15 01:00:43 +01:00

parallel_utils

Don't use cupy NCCL for AMD backends (#2855)

2024-02-14 12:30:44 -08:00

__init__.py

Refactor Worker & InputMetadata (#1843)

2023-11-29 22:16:37 -08:00

input_metadata.py

Support FP8-E5M2 KV Cache (#2279)

2024-01-28 16:43:54 -08:00

model_loader.py

Add LoRA support for Mixtral (#2831)

2024-02-14 00:55:45 +01:00

sampling_metadata.py

Use NCCL instead of ray for control-plane communication to remove serialization overhead (#2221)

2024-01-03 11:30:22 -08:00

utils.py

TP/quantization/weight loading refactor part 2 - Refactor quantized linear logic and extend quantization support to all models (#1622)

2023-11-15 22:50:41 -08:00

weight_utils.py

Use revision when downloading the quantization config file (#2697)

2024-02-01 15:41:58 -08:00