Instructions to use yvelos/Tsotsallm-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yvelos/Tsotsallm-beta with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "yvelos/Tsotsallm-beta") - Notebooks
- Google Colab
- Kaggle
Training procedure
The TSOTSALLM-beta Large Language Model (LLM) is a fine-tuned generative text model based on LLama-2 with 7 billions parameters.
Model Architecture
TSOTSALLM-beta is a transformer model, with the following architecture choices:
- Grouped-Query Attention
- Sliding-Window Attention
- Byte-fallback BPE tokenizer
The TSOTSALLM AI Team
- Jean Petit BIKIM
- Fidel Jiomekong
- Martins Folefack
- Brice
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