Carus10/LingoCLI-Qwen-3B-V7 is a 3.1 billion parameter Qwen2.5-3B-Instruct model, developed by Carus10, and fine-tuned using Unsloth and Huggingface's TRL library. This model was trained with a focus on efficiency, achieving 2x faster training speeds. It is designed for general instruction-following tasks, leveraging its Qwen2.5 base for robust language understanding and generation.
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Model Overview
Carus10/LingoCLI-Qwen-3B-V7 is a 3.1 billion parameter instruction-tuned language model, developed by Carus10. It is based on the Qwen2.5-3B-Instruct architecture and was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Base Model: Qwen2.5-3B-Instruct, providing a strong foundation for general language tasks.
- Efficient Training: Achieved 2x faster training speeds due to the utilization of Unsloth, making it a cost-effective and rapid development choice.
- Parameter Count: 3.1 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 32768 tokens, enabling processing of longer inputs.
Use Cases
This model is well-suited for a variety of instruction-following applications where a compact yet capable language model is required. Its efficient training process suggests it could be particularly useful for developers looking to quickly deploy and iterate on language-based solutions.