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

Can I run model 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.

model is an open-weights language model for general. 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 unsloth.gguf: d3fd66913f4117703a238af437bde18296965fa038d0ae9af679edb53037f0ca. 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 2026-09-03 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

Neopix/model

Model details

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

Content controls: not assessed.

The catalog lists this model as an add-on for having conversations. Catalog sources: license, cardMetadata.license, baseModel, files, tags.

View as JSON →

7 hosted of 9 listed

Hashes recorded. Date not recorded.

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

Verificar um download

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.

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Can I run model on my computer?

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