Phi-3-mini-128k-instruct safetensors download | Hugging Bay

Q: What is this model?

microsoft/Phi-3-mini-128k-instruct is an open-weights language model for text generation published by microsoft, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for text generation: microsoft/Phi-3-mini-128k-instruct · transformers

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 7.64 GB.

Q: What can I download here?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 7.64 GB. The original release is at https://huggingface.co/microsoft/Phi-3-mini-128k-instruct.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 16 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-microsoft-phi-3-mini-128k-instruct/safety on Hugging Bay.

Q: Will microsoft/Phi-3-mini-128k-instruct 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.

microsoft

Phi-3-mini-128k-instruct

microsoft/Phi-3-mini-128k-instruct

Model details

text generationLicense: mitSHA-256 recorded for 16 of 20 filessafetensors

Content controls: not assessed.

Listed for working with code; for developers building coding tools. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

View as JSON →

16 hosted of 20 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model-00001-of-00002.safetensors`	4.97 GB	`fc534bed…731b8c12` `fc534bed68dc12e48d1f28d144bfb2239bd1ef4f5d5892d68e9d1f85731b8c12`	Hosted	Download
`model-00002-of-00002.safetensors`	2.67 GB	`d08786c6…d92b2bdc` `d08786c6cca821d229fd6049c3a691a51bcfa0d29b78289dbc607badd92b2bdc`	Hosted	Download
Tokenizer & config
`added_tokens.json`	306 bytes	`f8e5a880…87a955fb` `f8e5a880c6c563a126d9efacb654e105fc4b66f21e5a540f04436e9487a955fb`	Hosted	Download
`config.json`	3.48 KB	`af70441b…4893f03b` `af70441b867458d18788c564ea69894adddaa4de47ab6534391604fc4893f03b`	Hosted	Download
`configuration_phi3.py`	11.2 KB	—	Upstream only	File metadata
`generation_config.json`	181 bytes	`ba2f18bf…88750208` `ba2f18bfdf91a4bbe63162c572fbf31368d0134e395bea44361e040e88750208`	Hosted	Download
`modeling_phi3.py`	73.2 KB	—	Upstream only	File metadata
`sample_finetune.py`	6.4 KB	—	Upstream only	File metadata
`special_tokens_map.json`	599 bytes	`810adc6e…fac4609b` `810adc6e6c6ef2f56c285ef930d243358a3a9f05e36a01c5a10bafc6fac4609b`	Hosted	Download
`tokenizer.json`	1.94 MB	`072ab882…0f0fbe39` `072ab882d6c7192a42f78790945d16c064691321a73251a4b18f6a380f0fbe39`	Hosted	Download
`tokenizer.model`	499.7 KB	`9e556afd…1818d347` `9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347`	Hosted	Download
`tokenizer_config.json`	3.44 KB	`aaa87217…8addbb58` `aaa87217a0f61c684cdc8703d3d4030a1f5b1077183610b61a14d7f28addbb58`	Hosted	Download
`model.safetensors.index.json`	16.3 KB	`6eec78ee…9c90a428` `6eec78ee2a442445d9d342a7cd9a763da40a49bd91d8611b7db5e9a29c90a428`	Hosted	Download
Docs
`.gitattributes`	1.55 KB	—	Upstream only	File metadata
`CODE_OF_CONDUCT.md`	453 bytes	`539b1bfc…daebade3` `539b1bfc810aa62738af95866bfe584d568b0dca71aebed0bd81db0bdaebade3`	Hosted	Download
`LICENSE`	1.1 KB	`c4941961…69c0bd51` `c49419617a6070bcb197cfe272f7007fdec3e790dbb529cb995473bd69c0bd51`	Hosted	Download
`NOTICE.md`	1.81 KB	`a3386cc7…22d87ba4` `a3386cc7125ec75ed34d4f0a340c47782982095e251d322e01d8ecab22d87ba4`	Hosted	Download
`README.md`	24 KB	`e8ca83c5…28a5ffd1` `e8ca83c574daf04766f44af8d60699b995fee48128b84f582c240eee28a5ffd1`	Hosted	Download
`SECURITY.md`	2.7 KB	`891c6326…9d5e78b2` `891c6326bdd8ea026af23af20fd7dd7167b666f4bd4f63cf22dfdef09d5e78b2`	Hosted	Download
`data_summary_card.md`	4.62 KB	`7d7a019c…bce2e348` `7d7a019ce5fe4953e2ea99dc094b4eda9c2e07ce3fb10e82b0a57aa4bce2e348`	Hosted	Download

Check a download

In the folder where you saved CODE_OF_CONDUCT.md, run:

macOS

shasum -a 256 -- 'CODE_OF_CONDUCT.md'

Linux

sha256sum -- 'CODE_OF_CONDUCT.md'

Windows

Get-FileHash -LiteralPath 'CODE_OF_CONDUCT.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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