tiny-Glm4MoeForCausalLM safetensors download | Hugging Bay

Q: What is this model?

trl-internal-testing/tiny-Glm4MoeForCausalLM is an open-weights language model for text generation published by trl-internal-testing, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for text generation: trl-internal-testing/tiny-Glm4MoeForCausalLM · 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: 7 files, 24.8 MB. Full repo upstream: 24.8 MB. The recommended download, model.safetensors, is 4.86 MB.

Q: What can I download here?

Hosted here: 7 files, 24.8 MB. Full repo upstream: 24.8 MB.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-trl-internal-testing-tiny-glm4moeforcausallm/safety on Hugging Bay.

Q: Will trl-internal-testing/tiny-Glm4MoeForCausalLM 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.

trl-internal-testing

tiny-Glm4MoeForCausalLM

Can I run tiny-Glm4MoeForCausalLM on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 7 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-Glm4MoeForCausalLM 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: 3ddc2b30dc3bc17c3cd7175fb8dae5b21920991164b18d9ad2e2356f963d188c. 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 2026-09-20 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).

trl-internal-testing/tiny-Glm4MoeForCausalLM

Model details

text generationLicense: unknownSHA-256 recorded for 7 of 9 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: tags, task, cardMetadata.pipelineTag.

Can I run it?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-trl-internal-testing-tiny-glm4moeforcausallm/model.safetensors",
    "model.safetensors",
)

Other ways

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7 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors4.86 MB · 1 file Download · 4.86 MB (1 file)

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

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	4.86 MB	`3ddc2b30…963d188c` `3ddc2b30dc3bc17c3cd7175fb8dae5b21920991164b18d9ad2e2356f963d188c`	Hosted	Télécharger
Tokenizer & config
`chat_template.jinja`	3.24 KB	`44f81586…9d96cce3` `44f815868bf02fa458dd2f741a338046f4bf45f398eb6d067766726b9d96cce3`	Hosted	Télécharger
`config.json`	988 bytes	`dc6f5a34…a608fcdc` `dc6f5a34fbe4deaa3f27b3240e0887fae9b5b1d9eaa98ad65ed1e862a608fcdc`	Hosted	Télécharger
`generation_config.json`	155 bytes	`ba9a3c46…f218ebd4` `ba9a3c4651d9a7a3241da35ca23563affbdc63f44ed0772ad30d2643f218ebd4`	Hosted	Télécharger
`special_tokens_map.json`	802 bytes	`29051106…6df1221a` `290511061f3c229783aaa9b2d63698fdcffcc068890ce2e014275ebc6df1221a`	Hosted	Télécharger
`tokenizer.json`	20 MB	`bda8e214…bff346ba` `bda8e2146c3bb7b7e0fc96dcc4f0aeff041c6c27952e3ace0665663ebff346ba`	Hosted	Télécharger
`tokenizer_config.json`	7.31 KB	`14a3484d…1f0394eb` `14a3484d689dae8f6bf58c250617bfa95bd0c7404480cf3f3feb364f1f0394eb`	Hosted	Télécharger
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	178 bytes	—	Upstream only	File metadata

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tiny-Glm4MoeForCausalLM

Can I run tiny-Glm4MoeForCausalLM on my computer?

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