{"best_for":["Academic researchers","Industry research labs","Government research organizations","Civil society researchers","Software companies focused on AI research"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/opt-175b","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/opt-175b.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-032.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: OPT-175B (https://aitoolsforbusiness.ai/opt-175b)"},"features":["175 Billion Parameter Model: A high-capacity language model trained on publicly available data sets.","Open Training Code: Includes the codebase needed to train and deploy the model.","Pretrained Baseline Models: Provides a suite of smaller models ranging from 125M to 30B parameters for scale-based research.","Noncommercial Licensing: Access is granted for research use cases to focus on research applications.","Development Documentation: Includes a logbook documenting the training process and compute usage."],"freshness_status":"fresh","name":"OPT-175B","pricing_note":"Pricing was not clearly available from the provided evidence. The model is released under a noncommercial license for research purposes. Buyers should confirm current pricing on the vendor website.","pricing_url":null,"primary_category":"Software Development","profile_last_verified":"2026-06-04T04:20:01.223Z","secondary_categories":[],"short_description":"OPT-175B is a large language model with 175 billion parameters and open-source code designed for NLP and AI research.","slug":"opt-175b","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/opt-175b","use_cases":["NLP Research: Studying natural language processing capabilities and behaviors using a large-scale model.","AI Safety Study: Analyzing potential harms and designing detection and mitigation strategies for bias and toxicity.","Model Scaling Analysis: Comparing the 175B model with smaller baseline models to understand the effect of parameter scale.","Reproducible AI Research: Using shared pretrained models and code to conduct research that other labs can replicate."],"website_url":"https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/"}