Tendem
Mini toolsOPT
OPT-175B was released to advance transparent large-scale language modeling. It matches the classic decoder-only Transformer recipe at very high capacity, trained on large public text corpora and accompanied by smaller OPT checkpoints so researchers can reproduce scaling trends. The release prioritized openness, including training logs, evaluation details, and an open-weights license for research use, which made the model a common baseline for studies on efficiency, safety, and alignment. In practice it handles long-form generation, summarization, and few-shot tasks competently, transfers to instruction or domain tuning with standard methods, and serves as a reference for system work on memory, quantization, and distributed inference. Compared with newer generations it has a shorter context window and lighter alignment, so teams often wrap it with guardrails or adapt it via fine-tuning when deploying in modern pipelines.
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Gen 2
Overview
OPT-175B is Meta AI’s 175B-parameter Open Pretrained Transformer. It targets GPT-3 class capabilities with open weights for research, strong few-shot performance, and a standard decoder-only architecture suitable for analysis, baselines, and downstream fine-tuning.
About Meta Platforms
We're connecting people to what they care about, powering new, meaningful experiences, and advancing the state-of-the-art through open research and accessible tooling.
Industry:
Technology, Information and Internet
Company Size:
78.000-79.000
Location:
Menlo Park, California, US
Website:
ai.meta.com
Last updated: January 19, 2026
