SmolLM-1.7B-Instruct-quantized.w4a16 is a quantized instruction-tuned language model distributed through Hugging Face. Developers can download and run it locally for text generation and conversational applications.
In the Quantised & converted weights space, SmolLM 1.7B Instruct Quantized.w4a16 takes a focused approach. It focuses on running an instruction-tuned language model locally with lower memory requirements. It is built as an open-source project for developers. SmolLM 1.7B Instruct Quantized.w4a16 is open source under the Apache-2.0 license. It runs on the web, and it can be self-hosted.
It is developed by nm-testing, and it first shipped in 2019. Development happens publicly on GitHub with 3.6k stars and 161 commits in the last 90 days. Key capabilities include text generation, instruction tuning, and W4A16 quantization.
Summary written by a language model from the project’s public pages.
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