LFM2.5-2.6B-Uncensored-GGUF GGUF download | Hugging Bay

Q: What is this model?

SC117/LFM2.5-2.6B-Uncensored-GGUF is an open-weights language model for text generation published by SC117, added to Hugging Bay Sep 16, 2026. Model from Hugging Face for text generation: SC117/LFM2.5-2.6B-Uncensored-GGUF · gguf

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?

SC117/LFM2.5-2.6B-Uncensored-GGUF has 2.6B parameters. Hosted here: 1 file, 1.67 GB. Full repo upstream: 14.9 GB. The recommended download, LFM2.5-2.6B-Uncensored-Q4_K_M.gguf (Q4_K_M), is 1.67 GB.

Q: What can I download here?

Hosted here: 1 file, 1.67 GB. Full repo upstream: 14.9 GB.

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-sc117-lfm2-5-2-6b-uncensored-gguf/safety on Hugging Bay.

Q: Will SC117/LFM2.5-2.6B-Uncensored-GGUF 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.

SC117

LFM2.5-2.6B-Uncensored-GGUF

SC117/LFM2.5-2.6B-Uncensored-GGUF

text generationLicense: unknownHashes recordedGGUF

Content controls: not assessed.

Model from Hugging Face for text generation: SC117/LFM2.5-2.6B-Uncensored-GGUF · gguf

View as JSON →

1 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`LFM2.5-2.6B-Uncensored-Q4_K_M.gguf` Default	1.67 GB	`857a8666…19f38590` `857a8666afa1d16da4de4e06cf8b4fa1047d396c43bcb6367d9e9b8b19f38590`	Hosted	Baixar
`LFM2.5-2.6B-Uncensored-BF16.gguf`	5.4 GB	`754ecd70…e0516404` `754ecd70e22794f47d21d6d307cf1afbb9224c500c85feaf4002b6cfe0516404`	Upstream only	File metadata
`LFM2.5-2.6B-Uncensored-IQ3_XS.gguf`	1.22 GB	`2b325b33…1a51df50` `2b325b33b8ba0a9c3e54652fcd56071bb12c0fb0bc8e619761ff40c61a51df50`	Upstream only	File metadata
`LFM2.5-2.6B-Uncensored-IQ4_XS.gguf`	1.52 GB	`5907a6e4…889a9c54` `5907a6e413e7c67d4b9679a18410524e7c5b5fd3c3d7eb64c01f6a87889a9c54`	Upstream only	File metadata
`LFM2.5-2.6B-Uncensored-Q6_K.gguf`	2.22 GB	`f3e125b3…a6fc90a3` `f3e125b3e9bbb4426d2db900cf56c3d1f12415b99c2b40ed1bf8444aa6fc90a3`	Upstream only	File metadata
`LFM2.5-2.6B-Uncensored-Q8_0.gguf`	2.87 GB	`bc7472c0…7a988e0b` `bc7472c05f596876b24040ea8ad8a1475ccb9ff45208c4b0a2fd43757a988e0b`	Upstream only	File metadata
Docs
`.gitattributes`	1.94 KB	—	Upstream only	File metadata
`LICENSE`	10.6 KB	—	Upstream only	File metadata
`README.md`	16.8 KB	—	Upstream only	File metadata
`README_zh.md`	16.8 KB	—	Upstream only	File metadata

Verificar um download

In the folder where you saved LFM2.5-2.6B-Uncensored-Q4_K_M.gguf, run:

macOS

shasum -a 256 -- 'LFM2.5-2.6B-Uncensored-Q4_K_M.gguf'

Linux

sha256sum -- 'LFM2.5-2.6B-Uncensored-Q4_K_M.gguf'

Windows

Get-FileHash -LiteralPath 'LFM2.5-2.6B-Uncensored-Q4_K_M.gguf' -Algorithm SHA256

Compare the result with the recorded SHA-256.

LFM2.5-2.6B-Uncensored-GGUF

Verificar um download

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