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hmellor

tiny-random-DeepseekV2ForCausalLM

Can I run tiny-random-DeepseekV2ForCausalLM on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 6 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.

tiny-random-DeepseekV2ForCausalLM 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.safetensors: 652d9531e43e7cf8338120cbe4ca21948b0bc8585eaa80e5b990a21c95fbddd3. 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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hmellor/tiny-random-DeepseekV2ForCausalLM
Model details
text generationLicense: unknownSHA-256 recorded for 6 of 8 filessafetensors

Content controls: not assessed.

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