test150m safetensors download (686 MB) | Hugging Bay

test150m

Can I run test150m on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 4 hosted files; 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.

test150m is an open-weights language model for text generation. 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 model.safetensors: 918c16a48954049e03e3dff90b6eb7c49bbbd72dddd113070a602d1e535f0f89. 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 2026-09-19 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

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Asilarkness/test150m

Model details

text generationLicense: unknownSHA-256 recorded for 5 of 14 filessafetensors · PT

Content controls: not assessed.

The catalog lists this model for working with code. Catalog sources: tags, 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-asilarkness-test150m/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

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

Selected downloadmodel.safetensors686 MB · 1 file Download · 686 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

Modellinformationen

test150m is an open-weights language model for text generation. The primary file is model.safetensors (686 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: unknown. The SHA-256 prefix is 918c16a48954. The primary Download is available now. No tested run commands for this file yet. The license label is unknown; availability is shown separately. 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

4 hosted of 14 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for Asilarkness/test150m. Task: text generation. Library: pytorch. Popularity signal at import: 22 downloads and 0 likes.

Kurzinfo

Hosted here: 4 hosted of 14 listed
Full repo upstream: 2.06 GB
Recommended file: 686.3 MB · model.safetensors
Format: safetensors · PT
File hashes: Hashes recorded. Date not recorded.

Lizenz und Quelle

License: unknown

4 hosted of 14 listed

No license was found in metadata, the LICENSE file or README. You can download the files; check the terms before you use or share them.

See the JSON record →

License: unknown
Task: text generation
Hosted here: 4 files, 687.4 MB
Full repo upstream: 2.06 GB
Recommended file: 686.3 MB · model.safetensors
Files: 4 hosted of 14 listed
Download: Download here (4 hosted files)
Added to Hugging Bay: Sep 19, 2026
Updated at source: Sep 19, 2026
Source: Asilarkness/test150m

FAQ

What is this model?

Asilarkness/test150m is an open-weights language model for text generation published by Asilarkness, added to Hugging Bay Sep 19, 2026. Model from Hugging Face for text generation: Asilarkness/test150m · pytorch

Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

How big is it?

Hosted here: 4 files, 687.4 MB. Full repo upstream: 2.06 GB. The recommended download, model.safetensors, is 686.3 MB.

What can I download here?

Hosted here: 4 files, 687.4 MB. Full repo upstream: 2.06 GB.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-asilarkness-test150m/safety on Hugging Bay.

Will Asilarkness/test150m 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.