Transformers: Revenge of the Fallen download the new version for android

It is added as a backbone class, allowing it to be re-used in downstream models. ViTDet reuses the ViT model architecture, adapted to object detection.ĭINO v2 is the next iteration of the DINO model.

Add support for CodeLlama by in #25740.

Remove SDPA for falcon to support earlier versions of PyTorch (< 2.0) by in #25947Ĭode Llama, is a family of large language models for code based on Llama 2, providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks.

Add proper Falcon docs and conversion script by in #25954.

Falcon port #24523 by Falcon: Add RoPE scaling by in #25878.

Both ‘base’ models trained only as causal language models as well as ‘instruct’ models that have received further fine-tuning are available.

They are made available under the Apache 2.0 license.įalcon’s architecture is modern and optimized for inference, with multi-query attention and support for efficient attention variants like FlashAttention.

The largest Falcon checkpoints have been trained on >=1T tokens of text, with a particular emphasis on the RefinedWeb corpus. Falcon is a class of causal decoder-only models built by TII.

Transformers: Revenge of the Fallen download the new version for android