---
license: apache-2.0
datasets:
- togethercomputer/RedPajama-Data-1T-Sample
language:
- en
---

# Landmark Attention LLaMA 33B

This model has been trained using the PEFT LoRA technique with the [Landmark Attention](https://arxiv.org/abs/2305.16300) method over 200 steps. Model will likely be trained further and updated later on.

## Usage

Requires `trust_remote_code` to be set to `True`. In [oobabooga](https://github.com/oobabooga/text-generation-webui), you can simply add the `--trust_remote_code` flag. 

You will also need to disable the `Add the bos_token to the beginning of prompts` option in the settings.

## PEFT Checkpoint

You can probably merge the checkpoint with any other LLaMA-based model (provided they're 33B, of course). This repo contains the merged weights, but you can grab the adapter [here](https://anonfiles.com/F3Pb20wbz7).

## Training Code

You can find the training code [here](https://github.com/eugenepentland/landmark-attention-qlora).