This is a bitsandbytes 4-bit quantized version of the Qwen2.5-14B model prepared by Unsloth. It is designed for rapid fine-tuning and inference while maintaining strong multilingual performance across Chinese, English, French, Spanish, Portuguese, German and other languages. The model is compatible with the Hugging Face ecosystem and Unsloth's accelerated training tools.
In the Foundation models & chat space, Qwen2.5 14B Bnb takes a focused approach. Quickly fine-tuning the Qwen2.5 14B model on limited hardware using 4-bit quantization and Unsloth's optimized training methods. It is built as an open-source project for machine learning engineers and researchers. Qwen2.5 14B Bnb is open source under the Apache-2.0 license. Qwen2.5 14B Bnb is available on the web, the command line, and API.
Unsloth builds and maintains Qwen2.5 14B Bnb, and the product first shipped in 2023. Development happens publicly on GitHub with 68.7k stars and 1.2k commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 19 similar tools. Key capabilities include 4-bit Quantization, Fast Fine-tuning, and Multilingual Support.
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