renansantosmendes/synapseai-qwen3-4B-instruct-merged
The renansantosmendes/synapseai-qwen3-4B-instruct-merged is a 4 billion parameter instruction-tuned Qwen3 model, developed by renansantosmendes. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is optimized for efficient instruction-following tasks.
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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.