Model Overview

The lipilipic/qwen2_5_math_1_5b_Instruct-NSFW-U-V3.1 is a 1.5 billion parameter language model, fine-tuned from the Qwen/Qwen2.5-Math-1.5B-Instruct base model. This version represents a merged full model, meaning all fine-tuning adjustments are integrated directly into the model weights, eliminating the need for separate LoRA adapters during inference.

Key Characteristics

• Base Model: Built upon Qwen/Qwen2.5-Math-1.5B-Instruct, indicating a foundation optimized for mathematical and instructional tasks.
• Parameter Count: A compact 1.5 billion parameters, making it efficient for deployment where computational resources are a consideration.
• Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and maintaining conversational coherence over extended interactions.
• Direct Inference: Designed for straightforward use, as it's a fully merged model ready for immediate inference without additional configuration steps.

Good For

• Applications requiring a relatively small yet capable instruction-following model.
• Scenarios where direct, out-of-the-box inference is preferred.
• Tasks that benefit from a model with a strong foundation in mathematical reasoning and instruction adherence, inherited from its base model.