Model Overview
The jackf857/Llama32-1b-Instruct-hh-sft-30 is a 1 billion parameter instruction-tuned language model, derived from the meta-llama/Llama-3.2-1B-Instruct base model. It has been specifically fine-tuned using the TRL library with a Supervised Fine-Tuning (SFT) approach. This model is equipped with a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text while maintaining coherence.
Key Capabilities
- Instruction Following: Optimized for understanding and executing user instructions, making it suitable for various prompt-based tasks.
- Text Generation: Capable of generating coherent and contextually relevant text based on given prompts.
- Extended Context: Benefits from a 32768 token context window, enabling it to handle more complex and lengthy inputs.
Training Details
The model underwent a Supervised Fine-Tuning (SFT) process. The training procedure can be further explored via its Weights & Biases run. Key framework versions used during training include TRL 0.26.2, Transformers 4.57.3, Pytorch 2.9.0, Datasets 4.4.2, and Tokenizers 0.22.2.
Good For
- General-purpose instruction-following applications.
- Conversational AI and chatbot development where a smaller, efficient model is preferred.
- Tasks requiring processing of moderately long text inputs.