Unsloth's optimized version of the Qwen2.5-14B-Instruct model. It supports efficient fine-tuning and inference with lower memory usage. The model includes a chat template for instruction following and tool calling capabilities. It is designed for developers who want to run or fine-tune large language models locally or in the cloud.
In the Foundation models & chat space, Qwen2.5 14B Instruct takes a focused approach. It focuses on running large language models efficiently with reduced memory and faster training/inference. Qwen2.5 14B Instruct is an open-source project aimed at developers and AI researchers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Behind Qwen2.5 14B Instruct is Unsloth, and the product first shipped in 2023. The project is developed in the open on GitHub with 68.4k stars and 1.2k commits in the last 90 days. PulseGate's similarity index places it among 14 comparable tools. Among its 4 catalogued features are Instruction Tuning, Tool Calling, and Quantization Support. It exposes integrations via a public API.
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unsloth/Qwen2.5-14B-Instruct verified by the PulseGate indexer
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