model GGUF download | Hugging Bay

Q: What is this model?

Neopix/model is an open-weights language model for general published by Neopix, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for llm: Neopix/model · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 1.38 GB. The recommended download, unsloth.gguf, is 1.32 GB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 1.38 GB. The original release is at https://huggingface.co/Neopix/model.

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-neopix-model/safety on Hugging Bay.

Q: Will Neopix/model 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.

Neopix

model

Neopix/model

Model details

generalLicense: apache-2.0SHA-256 recorded for 8 of 9 filessafetensors · GGUF

Content controls: not assessed.

Listed as an adapter for chat; for developers adapting a base model. Catalog sources: license, cardMetadata.license, baseModel, files, tags.

View as JSON →

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`unsloth.gguf`	1.32 GB	`d3fd6691…3037f0ca` `d3fd66913f4117703a238af437bde18296965fa038d0ae9af679edb53037f0ca`	Upstream only	File metadata
`adapter_model.safetensors`	45.1 MB	`72aa342b…ea64c576` `72aa342b619f5c4df617a747589d4aa1f01998c271832aaacd070403ea64c576`	Hosted	Herunterladen
Tokenizer & config
`adapter_config.json`	809 bytes	`e2701e92…e2ca6faa` `e2701e92eca88409260f87d3b4254637c9475f9fbca732b15f2198a7e2ca6faa`	Hosted	Herunterladen
`config.json`	29 bytes	`5007d686…012a5e10` `5007d686e527eae088f05b0d7061d59491416814bc21ee501895416a012a5e10`	Hosted	Herunterladen
`tokenizer_config.json`	55.4 KB	`01530d5f…28c01838` `01530d5f74e71dd9a9097650d817e7c5fac5616e8c9aff566a9fcc0c28c01838`	Hosted	Herunterladen
`special_tokens_map.json`	454 bytes	`94e708c3…ed586e8f` `94e708c3f5e64acf85bbe5ad01467a1248faadb73e83b41793087ecced586e8f`	Hosted	Herunterladen
`tokenizer.json`	17.2 MB	`6b9e4e7f…be39537b` `6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b`	Hosted	Herunterladen
Docs
`.gitattributes`	1.67 KB	—	Upstream only	File metadata
`README.md`	314 bytes	`47d176f2…00716f28` `47d176f2d88995469f3bf38c6d319b82b6cb29074baf4a7624d9882100716f28`	Hosted	Herunterladen

Einen Download prüfen

In the folder where you saved unsloth.gguf, run:

macOS

shasum -a 256 -- 'unsloth.gguf'

Linux

sha256sum -- 'unsloth.gguf'

Windows

Get-FileHash -LiteralPath 'unsloth.gguf' -Algorithm SHA256

Compare the result with the recorded SHA-256.

model

Einen Download prüfen

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