model15 safetensors download (67 MB) | Hugging Bay

Q: What is this model?

novelcore/model15 is an embedding model for sentence similarity and retrieval published by novelcore, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: novelcore/model15

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: 11 files, 67.8 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 66.7 MB.

Q: What can I download here?

Hosted here: 11 files, 67.8 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/novelcore/model15.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-novelcore-model15/safety on Hugging Bay.

Q: Will novelcore/model15 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.

novelcore

model15

novelcore/model15

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 11 of 23 filesBIN · safetensors · ONNX · H5

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, task.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-novelcore-model15/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

11 hosted of 23 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors67 MB · 1 file Download · 67 MB (1 file)

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Check your download →

Compare your file’s SHA-256 with the recorded hash.

11 hosted of 23 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	66.7 MB	`9a1eb90b…c2de22d2` `9a1eb90bbac323ea08aa5629b624fe6ae75db121b904799c2266a1e2c2de22d2`	Hosted	Descargar
`coreml/feature-extraction/float32_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model.bin`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.bin`	0 bytes	—	Upstream only	File metadata
`pytorch_model.bin`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	190 bytes	`4be450dd…350ffc23` `4be450dde3b0273bb9787637cfbd28fe04a7ba6ab9d36ac48e92b11e350ffc23`	Hosted	Descargar
`config.json`	583 bytes	`00273cdf…5943dc59` `00273cdfb3e05c7304d180270bdef8adae45023e7bdfc396338bdd815943dc59`	Hosted	Descargar
`coreml/feature-extraction/float32_model.mlpackage/Manifest.json`	617 bytes	`baf380b7…9d9a6652` `baf380b78160021e529f760dac6dfd46372199ceacf6e6390cb500539d9a6652`	Hosted	Descargar
`modules.json`	385 bytes	`73348a3d…f75fe43e` `73348a3d8f8ae4cc5f851dc6b98be3ea819390b814e83656d5eebbadf75fe43e`	Hosted	Descargar
`sentence_bert_config.json`	57 bytes	`948201d8…ee986529` `948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529`	Hosted	Descargar
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Descargar
`tokenizer.json`	711.7 KB	`da0e7993…4d2c62a0` `da0e79933b9ed51798a3ae27893d3c5fa4a201126cef75586296df9b4d2c62a0`	Hosted	Descargar
`tokenizer_config.json`	394 bytes	`e1790949…a40c8ba7` `e1790949631401af1bfb6c9c7aeec7fcf612e274d73579d99f704faea40c8ba7`	Hosted	Descargar
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Descargar
`coreml/feature-extraction/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel`	0 bytes	—	Upstream only	File metadata
`onnx/model.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O4.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model.xml`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.xml`	0 bytes	—	Upstream only	File metadata
`tf_model.h5`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	68.1 KB	`f3396a9e…1f70dd69` `f3396a9e72f5cde0c3b45a62e57efd8643a7fa6d68966a97aa7e9ace1f70dd69`	Hosted	Descargar
`.gitattributes`	0 bytes	—	Upstream only	File metadata

Comprobar una descarga

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

model15

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