Use in the same way as IlyaGusev/saiga2_7b_lora.

WARNING! Load tokenizer as AutoTokenizer.from_pretrained(model_path, use_fast=True)

Up to 60% faster generation and 35% training (on identical russian text sequences!) with HF because of different tokenizer.

Colab: https://colab.research.google.com/drive/109ZhEB6STy-0jO-Z_4ttkWr1jg_FCTRW?usp=sharing

Paper: Tikhomirov M., Chernyshev D. Impact of Tokenization on LLaMa Russian Adaptation //arXiv preprint arXiv:2312.02598. – 2023.

## Model description

Instruction version (Saiga datasets) of Russian adaptation of LLaMa-2-7B by replacing the tokenizer.
Paper: Tikhomirov M.M., Chernyshev D.I., Impact of Tokenization on LLaMa Russian Adaptation (will be soon)
{"language": ["ru"], "library_name": "peft", "pipeline_tag": "text-generation"}
peft text-generation ru region:us