Landmark Attention 7B fp16

These files are merged fp16 pytorch format model files for Landmark Attention 7B .

They are the result of merging the provided deltas with base LLaMa 7B.

For more info on this model, please see their Github at: https://github.com/epfml/landmark-attention

Repositories available

Unquantised fp16 model in pytorch format, for GPU inference and conversions

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Original model card: Landmark Attention 7B

LLaMA-7B + Landmark Attention

This repo hosts the weight diff between LLaMA 7B trained with landmark attention for 15000 steps on RedPajama and the original model. Please visit the Github repository for further instructions on how to recover the full weights and how to use them.

Github repository: https://github.com/epfml/landmark-attention

作者:

Tom Jobbins

数据集大小:

25.1 GB