AI TOOL PROFILE
OPT-175B: AI Model for Research
- Software Development
- Machine Learning Platform
- Academic researchers
- Industry research labs
- Government research organizations
- Civil society researchers
- Software companies focused on AI research
Pricing
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.
At a glance
- Best for
- Academic researchers, Industry research labs, Government research organizations, Civil society researchers, Software companies focused on AI research
- Key use cases
- NLP Research, AI Safety Study, Model Scaling Analysis, Reproducible AI Research
- Official website
- Visit OPT-175B official website
How AI is used
OPT-175B is a large-scale language model released by Meta AI. It consists of 175 billion parameters and is designed for the scientific and research community to study how large language models work and to explore methods for mitigating issues like bias and toxicity.
The model is intended for academic researchers, government agencies, civil society, and industry research laboratories. It provides both the pretrained models and the training code, which differs from many large models available only via paid APIs.
It supports research into natural language processing (NLP) and AI behavior. The release also includes a suite of smaller baseline models to help researchers study the impact of model scale on performance.
Buyers and researchers should confirm that their intended use falls under the noncommercial license agreement before requesting access.
Key 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.
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.
FAQ
Who can access OPT-175B?
- Access is granted to academic researchers, government organizations, civil society, and industry research laboratories.
Can OPT-175B be used for commercial products?
- No, the model is released under a noncommercial license specifically to focus on research use cases.
What is included in the OPT-175B release?
- The release includes the 175-billion-parameter pretrained model, the code needed to train and use it, and several smaller baseline models.
Source category: Software Development
Source subcategory: Machine Learning Platform
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