xlam-finetuned safetensors download | Hugging Bay

Q: What is this model?

neural-coder/xlam-finetuned is an open-weights language model for text generation published by neural-coder, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: neural-coder/xlam-finetuned · 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 13 listed files; full count and size unknown. Full repo upstream: 16.1 GB.

Q: What can I download here?

Hosted here: at least 13 listed files; full count and size unknown. Full repo upstream: 16.1 GB. The original release is at https://huggingface.co/neural-coder/xlam-finetuned.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 13 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-neural-coder-xlam-finetuned/safety on Hugging Bay.

Q: Will neural-coder/xlam-finetuned 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.

neural-coder

xlam-finetuned

neural-coder/xlam-finetuned

Model details

text generationLicense: apache-2.0SHA-256 recorded for 14 of 15 filessafetensors · BIN

Content controls: not assessed.

Listed for chat; for developers building conversational tools. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

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