facebook/opt-125m
text-generation model by facebook
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Model card & documentation
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OPT was first introduced in Open Pre-trained Transformer Language Models and first released in metaseq's repository on May 3rd 2022 by Meta AI. Disclaimer: The team releasing OPT wrote an official model card, which is available in Appendix D of the paper. Content from this model card has been written by the Hugging Face team. To quote the first two paragraphs of the official paper OPT was predominantly pretrained with English text, but a small amount of non-English data is still present within the training corpus via CommonCrawl. The model was pretrained using a causal language modeling (CLM) objective. OPT belongs to the same family of decoder-only models like GPT-3. As such, it was pretrained using the self-supervised causal language modedling objective. For evaluation, OPT follows GPT-3 by using their prompts and overall experimental setup. For more details, please read the official paper. The pretrained-only model can be used for…
Read the full model card ↗ · Preview checked 2026-10-28T17:43:58.701Z
Inside the original model card — Document outline
- OPT : Open Pre-trained Transformer Language Models
- Intro
- Model description
- Intended uses & limitations
- How to use
- Limitations and bias
- Training data
- Collection process
- Training procedure
- Preprocessing
- BibTeX entry and citation info
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Model overview
facebook/opt-125m is a text-generation model repository published by facebook on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 4,541,208
- Cumulative likes
- 333
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- OPTForCausalLM
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2022-05-11T08:25:17.000Z
- Last modified
- 2023-09-15T13:10:03.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:29.042Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.