stsb-TinyBERT-L4 safetensors download (57 MB) | Hugging Bay

Q: What is this model?

cross-encoder/stsb-TinyBERT-L4 is an open-weights language model for text ranking published by cross-encoder, added to Hugging Bay Jun 29, 2026. Model from Hugging Face: cross-encoder/stsb-TinyBERT-L4

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 7 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 57.4 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/cross-encoder/stsb-TinyBERT-L4.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-cross-encoder-stsb-tinybert-l4/safety on Hugging Bay.

Q: Will cross-encoder/stsb-TinyBERT-L4 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.

cross-encoder

stsb-TinyBERT-L4

cross-encoder/stsb-TinyBERT-L4

text rankingLicense: apache-2.0Hashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face: cross-encoder/stsb-TinyBERT-L4

View as JSON →

7 hosted of 24 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`model.safetensors` Default	57.4 MB	`4fa70fae…f89aabf5` `4fa70fae4092a08c5d1dcffc720318e5cbd4f8208b2213ebdb2d9525f89aabf5`	Hosted	Descargar
`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
`config.json`	647 bytes	`190ccd33…6994b3f6` `190ccd33b3a8c168cbda611a5d38ed47c9f21e5cfe88444fa2d8fd286994b3f6`	Hosted	Descargar
`special_tokens_map.json`	132 bytes	`3c3507f3…b2c94dd6` `3c3507f36dff57bce437223db3b3081d1e2b52ec3e56ee55438193ecb2c94dd6`	Hosted	Descargar
`tokenizer_config.json`	1.33 KB	`a5c2e5a7…25905fd8` `a5c2e5a7b1a29a0702cd28c08a399b5ecc110c263009d17f7e3b415f25905fd8`	Hosted	Descargar
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Descargar
`tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Hosted	Descargar
`CECorrelationEvaluator_sts-dev_results.csv`	0 bytes	—	Upstream only	File metadata
`flax_model.msgpack`	0 bytes	—	Upstream only	File metadata
`onnx/model.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O1.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O2.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O3.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O4.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_arm64.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_avx512.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_quint8_avx2.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
Docs
`README.md`	1.1 KB	`f82d49e5…7756d67c` `f82d49e59999baa3c38909ac967c641cb2c06f3a2b01748f9aaa65397756d67c`	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.

stsb-TinyBERT-L4

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