Model Overview
j05hr3d/Llama-3.2-3B-Instruct-C_M_T-AUX_CT is an instruction-tuned language model, building upon the meta-llama/Llama-3.2-3B-Instruct base model. With 3.2 billion parameters and a substantial 32768 token context length, this model is designed for robust conversational capabilities and general text generation tasks.
Training Details
The model underwent a fine-tuning process using Supervised Fine-Tuning (SFT) with the TRL library. The training procedure utilized specific framework versions including TRL 0.27.1, Transformers 4.57.6, Pytorch 2.10.0+cu128, Datasets 4.8.4, and Tokenizers 0.22.2. Training progress and metrics were tracked using Weights & Biases.
Key Capabilities
- Instruction Following: Excels at responding to user prompts and instructions, making it suitable for interactive applications.
- Text Generation: Capable of generating coherent and contextually relevant text based on given inputs.
- Extended Context: Benefits from a 32768 token context window, allowing for processing and generating longer sequences of text.
Good For
- Conversational AI: Ideal for chatbots, virtual assistants, and dialogue systems requiring instruction adherence.
- General Purpose Text Generation: Suitable for tasks like content creation, summarization, and question answering where instruction-following is key.