Overview
Neelectric/Llama-3.1-8B-Instruct_SFT_sciencefisher_v00.01 is an 8 billion parameter instruction-tuned language model, fine-tuned by Neelectric. It is built upon the robust Meta Llama-3.1-8B-Instruct architecture and has been specialized through training on the Neelectric/MoT_science_Llama3_4096toks dataset. This model was trained using the TRL library, indicating a focus on instruction-following capabilities.
Key Capabilities
- Scientific Domain Specialization: Fine-tuned on a science-specific dataset, suggesting enhanced performance for scientific queries and tasks.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute user prompts effectively.
- Base Model Strength: Benefits from the strong foundational capabilities of the Llama-3.1-8B-Instruct model.
Training Details
The model underwent Supervised Fine-Tuning (SFT) using the TRL framework (version 0.28.0.dev0). The training process utilized Transformers 4.57.6, Pytorch 2.9.0, Datasets 4.5.0, and Tokenizers 0.22.2. Further details on the training run are available via Weights & Biases.
Good For
- Applications requiring a language model with a strong understanding of scientific concepts.
- Generating responses to scientific questions or performing scientific text analysis.
- Use cases where a specialized instruction-tuned model based on Llama 3.1 is beneficial.