Model Overview

The renansantosmendes/synapseai-qwen3-4B-instruct-merged is a 4 billion parameter instruction-tuned language model based on the Qwen3 architecture. Developed by renansantosmendes, this model was fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit.

Key Characteristics

• Architecture: Qwen3
• Parameters: 4 billion
• Context Length: 32768 tokens
• Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
• License: Apache-2.0

Use Cases

This model is suitable for various instruction-following applications, benefiting from its efficient training methodology and substantial context window. Its instruction-tuned nature makes it effective for tasks requiring precise responses based on given prompts.