bert-tiny-amd-GGUF GGUF download (5.34 MB) | Hugging Bay

bert-tiny-amd-GGUF

Can I run bert-tiny-amd-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.

bert-tiny-amd-GGUF is an open-weights language model for text classification. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

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

Recorded SHA-256 for bert-tiny-amd.Q4_K_M.gguf: a9548f0e89f80fd24b0faefbba88551a52dcba47b67aa12fbdfaded8d500612d. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated 2026-10-21 · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of 2026-09-24 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

mradermacher/bert-tiny-amd-GGUF

Model details

text classificationLicense: apache-2.0SHA-256 recorded for 12 of 14 filesGGUF

Content controls: not assessed.

The catalog lists this model for sorting text into categories. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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Use it from code

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-mradermacher-bert-tiny-amd-gguf/bert-tiny-amd.Q4_K_M.gguf",
    "bert-tiny-amd.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 downloadbert-tiny-amd.Q4_K_M.gguf5.34 MB · 1 file Download · 5.34 MB (1 file)

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Modellinformationen

bert-tiny-amd-GGUF is an open-weights language model for text classification. The primary file is bert-tiny-amd.Q4_K_M.gguf (5.34 MB, Q4_K_M). The primary file needs about 2 GB free for the Q4 file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is a9548f0e89f8. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Enthaltene Dateien

1 hosted of 14 listed

Weights

README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for mradermacher/bert-tiny-amd-GGUF. Task: text classification. Library: transformers. Languages: en. Base model: Adya662/bert-tiny-amd. Popularity signal at import: 97 downloads and 0 likes.

Kurzinfo

Hosted here: 1 hosted of 14 listed
Full repo upstream: 68.2 MB
Recommended file: 5.34 MB (Q4_K_M) · bert-tiny-amd.Q4_K_M.gguf
Languages: en
Format: GGUF
File hashes: Hashes recorded. Date not recorded.

Lizenz und Quelle

License: apache-2.0

1 hosted of 14 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

Download check: Can download · bytes verified · signed · current
Checked: 2026-10-22T03:51:06.538Z
License: Apache 2.0. Free to use and share, keep the credit notice
Task: text classification
Hosted here: 1 file, 5.34 MB
Full repo upstream: 68.2 MB
Recommended file: 5.34 MB (Q4_K_M) · bert-tiny-amd.Q4_K_M.gguf
Files: 1 hosted of 14 listed
Download: Download here (1 hosted file)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Sep 24, 2026
Source: mradermacher/bert-tiny-amd-GGUF

FAQ

What is this model?

mradermacher/bert-tiny-amd-GGUF is an open-weights language model for text classification published by mradermacher, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text classification: mradermacher/bert-tiny-amd-GGUF · transformers

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.

How big is it?

Hosted here: 1 file, 5.34 MB. Full repo upstream: 68.2 MB. The recommended download, bert-tiny-amd.Q4_K_M.gguf (Q4_K_M), is 5.34 MB.

What can I download here?

Hosted here: 1 file, 5.34 MB. Full repo upstream: 68.2 MB. The original release is at https://huggingface.co/mradermacher/bert-tiny-amd-GGUF.

File checks and computer fit

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-mradermacher-bert-tiny-amd-gguf/safety on Hugging Bay.

Will mradermacher/bert-tiny-amd-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.

Repack of adya662/bert-tiny-amd (from the publisher card on Hugging Face). This does not mean the files match the original weights.