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MODEL Listed

opt-125m

opt-125m is Meta's compact text generation model designed for developers who need a lightweight solution that runs efficiently on modest hardware. With 125M parameters, it trades raw scale for speed and accessibility, making it suitable for prototyping, edge deployment, or scenarios where larger models are impractical. It integrates smoothly with Hugging Face Transformers and can be fine-tuned for tasks like summarization, classification, or chatbots. While it won't match the quality of billion-parameter models, its low resource footprint and permissive license make it attractive for experimentation and small-scale production use. Developers should check the model card and license carefully before deployment, as usage restrictions may apply.

facebooktext generation
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01 / MODEL CARD

Model card

opt-125m is Meta's compact text generation model designed for developers who need a lightweight solution that runs efficiently on modest hardware. With 125M parameters, it trades raw scale for speed and accessibility, making it suitable for prototyping, edge deployment, or scenarios where larger models are impractical. It integrates smoothly with Hugging Face Transformers and can be fine-tuned for tasks like summarization, classification, or chatbots. While it won't match the quality of billion-parameter models, its low resource footprint and permissive license make it attractive for experimentation and small-scale production use. Developers should check the model card and license carefully before deployment, as usage restrictions may apply.

Model typetext generation
Providerfacebook
Licenseother
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/facebook/opt-125m
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Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: facebook/opt-125m
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model facebook/opt-125m
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model facebook/opt-125m README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('facebook/opt-125m')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/facebook/opt-125m.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/facebook/opt-125m.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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