Model Overview
j05hr3d/Llama-3.2-1B-Instruct-C_M_T is a 1 billion parameter instruction-tuned language model, derived from the Meta Llama-3.2-1B-Instruct base. This model has been specifically fine-tuned by j05hr3d using Supervised Fine-Tuning (SFT) with the TRL library, enhancing its ability to follow instructions and generate coherent text. It supports a substantial context length of 32768 tokens, allowing for processing and generating longer sequences of text.
Key Capabilities
- Instruction Following: Optimized through SFT to better understand and execute user instructions.
- Text Generation: Capable of generating diverse and contextually relevant text based on prompts.
- Extended Context: Benefits from a 32768 token context window, useful for complex or lengthy interactions.
Training Details
The model's training process utilized SFT, with the run details available for visualization on Weights & Biases. The training environment included TRL 0.27.1, Transformers 4.57.6, Pytorch 2.10.0+cu128, Datasets 4.8.4, and Tokenizers 0.22.2.
Good For
- Applications requiring a compact yet capable instruction-tuned model.
- General conversational AI and chatbot development.
- Tasks benefiting from a larger context window for understanding and generating responses.