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neural-coder

xlam-finetuned

Can I run xlam-finetuned on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 13 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.

xlam-finetuned is an open-weights language model for text generation. 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 .

Recorded SHA-256 for model-00001-of-00004.safetensors: 5bb35804125949f8d8e478975907c2dc1761636a3ba95e8fb5886ac56a3af48e. 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 · 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 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

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neural-coder/xlam-finetuned
Model details
text generationLicense: apache-2.0SHA-256 recorded for 14 of 15 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

O que está incluído

13 hosted of 15 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Sobre este modelo

External Hugging Face catalog record for neural-coder/xlam-finetuned. Task: text generation. Library: transformers. Base model: Salesforce/Llama-xLAM-2-8b-fc-r. Popularity signal at import: 12 downloads and 1 likes.

Informações básicas

Hosted here
13 hosted of 15 listed
Full repo upstream
16.1 GB
Format
safetensors · BIN
File hashes
Hashes recorded. Date not recorded.

Licença e origem

License: apache-2.0

13 hosted of 15 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

Task
text generation
Hosted here
at least 13 listed files; full count and size unknown
Full repo upstream
16.1 GB
Files
13 hosted of 15 listed
Added to Hugging Bay
Updated at source

FAQ

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

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.

How big is it?

Hosted here: at least 13 listed files; full count and size unknown. Full repo upstream: 16.1 GB.

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.

File checks and computer fit
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.

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.

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