Model Overview

TReV-89/sunflower-14b-grpo-factuality_v11 is a 14 billion parameter Qwen3-based language model, developed by TReV-89. It was fine-tuned from the jq/sunflower-14b-bs64-lr1e-4-250919 model.

Key Characteristics

• Architecture: Based on the Qwen3 model family.
• Parameter Count: 14 billion parameters.
• Context Length: Supports a substantial context window of 32768 tokens.
• Training Efficiency: Training was accelerated by 2x using the Unsloth library in conjunction with Huggingface's TRL library.

Potential Use Cases

• Factuality-focused applications: Given its name, it is likely optimized for tasks requiring high factual accuracy.
• Long-context understanding: The 32768 token context length makes it suitable for processing and generating longer texts.
• Efficient deployment: Models trained with Unsloth often benefit from optimized performance, which can be advantageous for deployment.