Model Overview

CreitinGameplays/llama-3.2-3b-r1 is a 3.2 billion parameter Llama-based language model, developed by CreitinGameplays. This model is a finetuned version, built upon an existing Llama 3.2B base.

Key Characteristics

• Efficient Training: The model was finetuned using Unsloth and Huggingface's TRL library, which facilitated training at 2x the standard speed.
• Parameter Count: With 3.2 billion parameters, it offers a balance between performance and computational efficiency.
• Context Length: The model supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.

Potential Use Cases

• General Text Generation: Suitable for various tasks requiring text completion, summarization, or creative writing.
• Research and Development: Its efficient training process makes it a good candidate for further experimentation and finetuning on specific datasets.
• Applications requiring moderate scale LLMs: Can be deployed in scenarios where larger models are too resource-intensive but a capable language model is needed.