summarizer GGUF download (253 MB) | Hugging Bay

Q: What is this model?

vanpelt/summarizer is an open-weights language model for summarization published by vanpelt, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for summarization: vanpelt/summarizer · unknown

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 1 file, 253.1 MB. Full repo upstream: 292.4 MB. The recommended download, gemma3-270m-summarizer-Q4_K_M.gguf (Q4_K_M), is 253.1 MB.

Q: What can I download here?

Hosted here: 1 file, 253.1 MB. Full repo upstream: 292.4 MB. The original release is at https://huggingface.co/vanpelt/summarizer.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-vanpelt-summarizer/safety on Hugging Bay.

Q: Will vanpelt/summarizer run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

vanpelt

summarizer

vanpelt/summarizer

Model details

summarizationLicense: apache-2.0SHA-256 recorded for 3 of 14 filesGGUF

Content controls: not assessed.

Listed for summarizing text; for developers building summarization tools. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-vanpelt-summarizer/gemma3-270m-summarizer-Q4_K_M.gguf",
    "gemma3-270m-summarizer-Q4_K_M.gguf",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerMac (Apple silicon) and Linux x86_64 installs are listed on the download page. Windows and Intel Mac are not yet. The app checks this model before you choose to download.

1 hosted of 14 listed · Hashes recorded. Date not recorded.

Selected downloadgemma3-270m-summarizer-Q4_K_M.gguf253 MB · 1 file Download · 253 MB (1 file)

Open-file help

Content controls: not assessed.

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Compare your file’s SHA-256 with the recorded hash.