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Phi-3-mini-4k-instruct-GGUF-v2

Can I run Phi-3-mini-4k-instruct-GGUF-v2 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 1 hosted file; 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.

Phi-3-mini-4k-instruct-GGUF-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 Phi-3-mini-4k-instruct.Q4_K_M.gguf: 6757639db6a12801047057871c36334bf70808eedf412a99969651bfde1c6fa5. 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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QuantFactory/Phi-3-mini-4k-instruct-GGUF-v2
Model details
text generationLicense: mitSHA-256 recorded for 14 of 16 filesGGUF

Content controls: not assessed.

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

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