Overview

rieffs/pengenalan-emosi is a compact 0.5 billion parameter instruction-tuned model, specifically optimized and converted to the GGUF format using Unsloth. This optimization allows for significantly faster training and inference, making it suitable for efficient local deployment.

Key Capabilities

• Efficient Local Inference: Optimized GGUF format for smooth execution on consumer hardware.
• Instruction-Tuned: Designed to follow instructions for various tasks.
• Multimodal Support: Can be used with multimodal applications, in addition to text-only LLMs.
• Fast Training: Benefits from Unsloth's 2x faster training capabilities.

Good for

• Emotion Recognition: The model's name suggests a specialization in emotion recognition tasks.
• Edge Devices: Its small parameter count and GGUF format make it ideal for deployment on devices with limited resources.
• Rapid Prototyping: Fast training and easy deployment via Ollama facilitate quick experimentation and development.
• Local Development: An included Ollama Modelfile simplifies setup for local use.