Hugging Face Overview
Model Overview
IsamiRi/furryvpntrash is a 3.2 billion parameter instruction-tuned model, developed by IsamiRi. It is based on the Llama 3.2 architecture and offers a substantial context length of 32768 tokens. This model was specifically finetuned using the Unsloth library, which is known for accelerating the training process of large language models, alongside Huggingface's TRL library.
Key Characteristics
- Base Model: Finetuned from
unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit. - Training Efficiency: Utilizes Unsloth for a reported 2x faster training speed.
- Context Window: Supports a 32768-token context, allowing for processing longer inputs and generating more coherent, extended responses.
Use Cases
This model is suitable for a variety of instruction-following tasks, benefiting from its Llama 3.2 foundation and extended context window. Its efficient training methodology suggests a focus on practical deployment and performance.