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.
Behind Qwen2.5 14B Bnb is Unsloth, and it first shipped in 2023. The project is developed in the open on GitHub with 68.7k stars and 1.2k commits in the last 90 days. PulseGate's similarity index places it among 19 comparable projects. Key capabilities include 4-bit Quantization, Fast Fine-tuning, and Multilingual Support.
Summary written by a language model from the project’s public pages.
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