This is a 4-bit quantized version of the Qwen2.5-3B-Instruct model prepared with Unsloth and bitsandbytes. It enables developers to fine-tune LLMs significantly faster and with much lower memory usage compared to standard methods. The model is hosted on Hugging Face and is intended for efficient continued pre-training or instruction tuning.
In the Foundation models & chat space, Qwen2.5 3B Instruct Unsloth Bnb takes a focused approach. It focuses on fine-tuning large language models 2-5x faster while using 70% less memory. It is built as an open-source project for developers. Qwen2.5 3B Instruct Unsloth Bnb is open source under the Apache-2.0 license. It ships for the web, the command line, and API.
Behind Qwen2.5 3B Instruct Unsloth Bnb is Unsloth, and it first shipped in 2023. Development happens publicly on GitHub with 68.4k stars and 1.2k commits in the last 90 days. Key capabilities include 4-bit quantization, fast fine-tuning, and memory efficient training.
Summary written by a language model from the project’s public pages.
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