metadata
library_name: peft
license: apache-2.0
language:
- ru
pipeline_tag: text-generation
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.