tale GGUF download (52 MB) | Hugging Bay

Q: What is this model?

navthings/tale is an open-weights language model for text generation published by navthings, added to Hugging Bay Sep 26, 2026. Model from Hugging Face for text generation: navthings/tale · unknown

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: 1 file, 52.2 MB. Full repo upstream: 148.8 MB. The recommended download, tale-q8_0.gguf (Q8_0), is 52.2 MB.

Q: What can I download here?

Hosted here: 1 file, 52.2 MB. Full repo upstream: 148.8 MB. The original release is at https://huggingface.co/navthings/tale.

Q: 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-navthings-tale/safety on Hugging Bay.

Q: Will navthings/tale 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.

navthings

tale

navthings/tale

text generationLicense: mitHashes recordedGGUF

Content controls: not assessed.

Model from Hugging Face for text generation: navthings/tale

View as JSON →

1 hosted of 4 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`tale-q8_0.gguf` Default	52.2 MB	`64ce05e8…062cce88` `64ce05e857b3908e0d082019d7fc2c067aab8f73b509a2c9cc015e8c062cce88`	Hosted	Herunterladen
`tale-f16.gguf`	96.6 MB	`673ddb62…b82e508c` `673ddb629d3fbe9caa0235fb2a36dc2d82b1dec16323d8985b9b63c4b82e508c`	Upstream only	File metadata
Docs
`.gitattributes`	1.62 KB	—	Upstream only	File metadata
`README.md`	913 bytes	—	Upstream only	File metadata

Einen Download prüfen

In the folder where you saved tale-q8_0.gguf, run:

macOS

shasum -a 256 -- 'tale-q8_0.gguf'

Linux

sha256sum -- 'tale-q8_0.gguf'

Windows

Get-FileHash -LiteralPath 'tale-q8_0.gguf' -Algorithm SHA256

Compare the result with the recorded SHA-256.

tale

Einen Download prüfen

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