TinyBuddy-80K safetensors download | Hugging Bay

Q: What is this model?

Eeppa/TinyBuddy-80K is an open-weights language model for text generation published by Eeppa, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: Eeppa/TinyBuddy-80K · transformers

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: 6 files, 624.7 KB. Full repo upstream: 634.1 KB.

Q: What can I download here?

Hosted here: 6 files, 624.7 KB. Full repo upstream: 634.1 KB. The original release is at https://huggingface.co/Eeppa/TinyBuddy-80K.

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-eeppa-tinybuddy-80k/safety on Hugging Bay.

Q: Will Eeppa/TinyBuddy-80K 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.

Eeppa

TinyBuddy-80K

Eeppa/TinyBuddy-80K

Model details

text generationLicense: mitSHA-256 recorded for 6 of 10 filessafetensors

Content controls: not assessed.

Listed for generating text; for developers building text generation tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

6 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors`	555.9 KB	`e008fdfb…22a304e0` `e008fdfb257851669f1316cfe95d315e0619d0569a499cb84fccad2222a304e0`	Hosted	Télécharger
Tokenizer & config
`config.json`	871 bytes	`e7ccb783…b32d3e7b` `e7ccb7833eaa69ac5b241869676c15ef34eeb5dcb3bad410170bf0edb32d3e7b`	Hosted	Télécharger
`configuration_tinybuddy.py`	1.31 KB	—	Upstream only	File metadata
`modeling_tinybuddy.py`	6.53 KB	—	Upstream only	File metadata
`special_tokens_map.json`	98 bytes	`37475779…4973e020` `374757794ca394ad14bb051fb3415873ae5c92660ac89383f666b7094973e020`	Hosted	Télécharger
`tokenizer.json`	63.6 KB	`28f6bce5…f9ea984a` `28f6bce554e927444629b5e14cf634470f0b098316ee1d98e3268665f9ea984a`	Hosted	Télécharger
`tokenizer_config.json`	264 bytes	`eaa8567e…ad4a2e41` `eaa8567ee36243224d8fc9ab0108719dc354948ae9395688356ab07fad4a2e41`	Hosted	Télécharger
`__init__.py`	0 bytes	—	Upstream only	File metadata
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	3.95 KB	`90f99e1a…3e6240b6` `90f99e1aef91d3412eafc810f22874bd14de6742bbc678c8a286ced03e6240b6`	Hosted	Télécharger

Vérifier un téléchargement

In the folder where you saved README.md, run:

macOS

shasum -a 256 -- 'README.md'

Linux

sha256sum -- 'README.md'

Windows

Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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