Model Overview
This model, j05hr3d/Llama-3.2-3B-Instruct-C_M_T-DOLLY-SEED999, is a 3.2 billion parameter instruction-tuned language model. It is built upon the meta-llama/Llama-3.2-3B-Instruct base model, indicating its foundation in the Llama 3.2 architecture. The model boasts a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text while maintaining coherence.
Training Details
The model was developed by j05hr3d and underwent Supervised Fine-Tuning (SFT) using the Hugging Face TRL (Transformer Reinforcement Learning) library. This fine-tuning process aims to align the model's outputs with human instructions and preferences. Key framework versions used during training include TRL 0.27.1, Transformers 4.57.6, Pytorch 2.10.0+cu128, Datasets 4.8.4, and Tokenizers 0.22.2.
Key Capabilities
- Instruction Following: Designed to respond to user prompts and instructions effectively due to its instruction-tuned nature.
- General Text Generation: Capable of generating coherent and contextually relevant text for a wide range of applications.
- Extended Context: Benefits from a 32K token context window, suitable for tasks requiring understanding or generation of longer documents or conversations.
Intended Use Cases
This model is suitable for various applications where an instruction-following language model is required, such as:
- Question Answering: Providing direct answers to user queries.
- Content Creation: Generating creative or informative text based on prompts.
- Conversational AI: Engaging in dialogue that adheres to given instructions.
- Summarization: Condensing longer texts, leveraging its extended context window.