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Multilingual-Multimodal-NLP

LoopCoder-V2

Can I run LoopCoder-V2 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.

LoopCoder-V2 is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on .

Recorded SHA-256 for model-00001-of-00003.safetensors: e59b0f4976e5cfd528cf131c0b91438ab76650c39ed84a970b5446792f8e7eec. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated · Page text: As of · Content revision

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

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Multilingual-Multimodal-NLP/LoopCoder-V2
Model details
text generationLicense: apache-2.0SHA-256 recorded for 13 of 17 filessafetensors

Content controls: not assessed.

The catalog lists this model for generating code. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.