e5-large-v2 safetensors download (1.34 GB) | Hugging Bay

e5-large-v2

Can I run e5-large-v2 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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.

e5-large-v2 is an embedding model for sentence similarity and retrieval. 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 2026-10-22.

Recorded SHA-256 for model.safetensors: d741c1a688a6169af0ecb5a047c44645cd992c31e1bf431269f98bba9ae2911a. 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 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2025-02-17 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

intfloat/e5-large-v2

Model details

sentence similarity and retrievalLicense: mitSHA-256 recorded for 17 of 20 filessafetensors · ONNX · BIN

Content controls: not assessed.

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

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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-intfloat-e5-large-v2/model.safetensors",
    "model.safetensors",
)

Other ways

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8 hosted of 20 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.34 GB · 1 file Download · 1.34 GB (1 file)

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