gpt2-GGUF GGUF download (113 MB) | Hugging Bay

Q: What is this model?

QuantFactory/gpt2-GGUF is an open-weights language model for text generation published by QuantFactory, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: QuantFactory/gpt2-GGUF · unknown

Q: Can I use it commercially?

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

Q: How big is it?

Hosted here: 1 file, 112.9 MB. Full repo upstream: 1.63 GB. The recommended download, gpt2.Q4_K_M.gguf (Q4_K_M), is 112.9 MB.

Q: What can I download here?

Hosted here: 1 file, 112.9 MB. Full repo upstream: 1.63 GB. The original release is at https://huggingface.co/QuantFactory/gpt2-GGUF.

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-quantfactory-gpt2-gguf/safety on Hugging Bay.

Q: Will QuantFactory/gpt2-GGUF 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.

QuantFactory

gpt2-GGUF

Can I run gpt2-GGUF on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 1 hosted file; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

gpt2-GGUF is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for gpt2.Q4_K_M.gguf: 55610166020310ac2096269e890fcd067d3660886af399b0bdfa9c84204cd459. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-08-28 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

Try browser chat with a small demo model (a separate model; device support is checked before loading).

QuantFactory/gpt2-GGUF

Model details

text generationLicense: mitSHA-256 recorded for 14 of 16 filesGGUF

Content controls: not assessed.

The catalog lists this model for generating text. 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-quantfactory-gpt2-gguf/gpt2.Q4_K_M.gguf",
    "gpt2.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 16 listed · Hashes recorded. Date not recorded.

Selected downloadgpt2.Q4_K_M.gguf113 MB · 1 file Download · 113 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

Machine-readable artifact endpoints

Not run yet

gpt2-GGUF

Can I run gpt2-GGUF on my computer?

Machine-readable artifact endpoints

Cookies