OLMo-3-7B-good-vs-bad-mixed-second-third-sft is an open-source 3.7B parameter language model trained on mixed quality data. It is available for download via Hugging Face, enabling developers to run and fine-tune the model locally for research and experimentation.
In the Foundation models & chat space, takes a focused approach. It provides a locally runnable, open-source language model trained on mixed quality data for research and development. is an open-source project aimed at AI researchers and developers. The project is open source (Apache-2.0). The product ships for the web, the command line, and API, and it can be self-hosted.
It is developed by longtermrisk, and the product first shipped in 2023. The project is developed in the open on GitHub with 68.1k stars and 1.1k commits in the last 90 days. PulseGate's similarity index places it among 11 comparable tools. Among its 5 catalogued features are text generation, model weights download, and good vs bad data tuning.
Latest indexed changes and source events
longtermrisk/OLMo-3-7B-good-vs-bad-mixed-second-third-sft discovered by the PulseGate indexer
Other apps tracked under the same category.
