lm-kit/LM-Kit.Sentiment_Analysis-TinyLlama-1.1B-1T-OpenOrca-en-q4-gguf

LM-Kit Sentiment Analysis Model

This model is optimized for sentiment analysis tasks within the LM-Kit.NET framework. It is designed to deliver high accuracy and performance for English text, particularly suited for CPU-based inference.

Key Features:

• —Language: Trained exclusively on English-language datasets.
• —Emotion Support: Focuses on binary sentiment (positive/negative); neutral sentiment classification is not supported.
• —Performance: Tuned for exceptional inference speed on CPU environments, making it ideal for real-time applications.