tiny-random-Gemma2ForCausalLM download | Hugging Bay

Q: What is this model?

hmellor/tiny-random-Gemma2ForCausalLM is an open-weights language model for text generation published by hmellor, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for text generation: hmellor/tiny-random-Gemma2ForCausalLM · transformers

Q: Can I use it commercially?

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

Q: How big is it?

Hosted here: 6 files, 51.3 MB. Full repo upstream: 51.3 MB. The recommended download, model.safetensors, is 16.9 MB.

Q: What can I download here?

Hosted here: 6 files, 51.3 MB. Full repo upstream: 51.3 MB.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-hmellor-tiny-random-gemma2forcausallm/safety on Hugging Bay.

Q: Will hmellor/tiny-random-Gemma2ForCausalLM 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.

hmellor

tiny-random-Gemma2ForCausalLM

Can I run tiny-random-Gemma2ForCausalLM on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 6 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.

tiny-random-Gemma2ForCausalLM 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 model.safetensors: 311f2d2982f2f8b3d8b8d32cc5981a3bb347938503b340420f3a29ade335afdd. 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 2026-09-20 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).

hmellor/tiny-random-Gemma2ForCausalLM

Model details

text generationLicense: unknownSHA-256 recorded for 6 of 8 filessafetensors

Content controls: not assessed.

The catalog lists this model for generating text. Catalog sources: 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-hmellor-tiny-random-gemma2forcausallm/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

6 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors17 MB · 1 file Download · 17 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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