
Use in the same way as IlyaGusev/saiga2_7b_lora.

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

rccmsu/ruadapt_mistral_7b_v0.1 trained on saiga corpuses.
The quality is slightly worse than the IlyaGusev/saiga_mistral_7b_lora, but faster because of tokenizer.

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

Paper: Tikhomirov M., Chernyshev D. Impact of Tokenization on LLaMa Russian Adaptation //arXiv preprint arXiv:2312.02598. – 2023.
{"language": ["ru"], "license": "apache-2.0", "library_name": "peft", "pipeline_tag": "text-generation"}
peft text-generation ru license:apache-2.0 region:us