codegen-350M-optimized ONNX download (1.43 GB) | Hugging Bay

Q: What is this model?

TextCortex/codegen-350M-optimized is an open-weights language model for text generation published by TextCortex, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: TextCortex/codegen-350M-optimized

Q: Can I use it commercially?

It is released under the bsd-3-clause license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

TextCortex/codegen-350M-optimized has 350M parameters. Hosted here: at least 9 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.onnx, is 1.43 GB.

Q: What can I download here?

Hosted here: at least 9 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/TextCortex/codegen-350M-optimized.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-textcortex-codegen-350m-optimized/safety on Hugging Bay.

Q: Will TextCortex/codegen-350M-optimized 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.

TextCortex

codegen-350M-optimized

TextCortex/codegen-350M-optimized

text generationLicense: bsd-3-clauseHashes recordedONNX

Content controls: not assessed.

Model from Hugging Face: TextCortex/codegen-350M-optimized

View as JSON →

O que verificamos

Origem
TextCortex/codegen-350M-optimized
SHA-256
Hashes recorded. Date not recorded.
License
License: bsd-3-clause
File pattern scans
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De onde vêm os arquivos

Files are hosted on Hugging Bay. See the recorded hashes in Files.

See the JSON record →

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codegen-350M-optimized

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