This model is a 4-bit bitsandbytes quantized version of Qwen2.5-1.5B-Instruct, prepared specifically for use with the Unsloth library. Unsloth enables 2-5x faster fine-tuning with 70% less memory usage. The model retains instruction-following capabilities and is ideal for developers who want to customize LLMs on limited hardware resources.
Qwen2.5 1.5B Instruct Unsloth Bnb is a Foundation models & chat project. It focuses on enabling fast and memory-efficient fine-tuning of instruction models on consumer hardware. It is built as an open-source project for developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
It is developed by unsloth, and it first shipped in 2023. Development happens publicly on GitHub with 69k stars and 1.3k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include 4-bit Quantized, Fast Fine-tuning, and Unsloth Optimized.
Summary written by a language model from the project’s public pages.
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