alphaedge-ai

multilingual e5 large sin 32768

Search / embeddings

This receipt records checks for this exact file; it does not prove safety or that it will run on your device. Read the receipt

Model details
sentence similarity and retrievalLicense: mitSHA-256 recorded for 5 of 8 filessafetensors
Quick answer: compatibility and sources

Can I run multilingual-e5-large-instruct-sin-32768 on my computer?

It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

multilingual-e5-large-instruct-sin-32768 is an embedding model for sentence similarity and retrieval. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: 812dd2c512a8859b2c1d85ca6b7e7de6fbf82f3f8e56c93384600308b4c713e9. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-alphaedge-ai-multilingual-e5-large-instruct-sin-32768.
  • Open /artifact/hf-model-alphaedge-ai-multilingual-e5-large-instruct-sin-32768/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-alphaedge-ai-multilingual-e5-large-instruct-sin-32768 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-alphaedge-ai-multilingual-e5-large-instruct-sin-32768/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

Requirements and source record
alphaedge-ai/multilingual-e5-large-instruct-sin-32768

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileGrößeSHA-256QuelleHerunterladen
Weights
model.safetensors674.9 MB
812dd2c5…b4c713e9812dd2c512a8859b2c1d85ca6b7e7de6fbf82f3f8e56c93384600308b4c713e9
Download availability is being checked.File metadata
Tokenizer & config
1_Pooling/config.json271 bytes—Download availability is being checked.File metadata
tokenizer.json2.1 MB
1576d957…9909c35f1576d957c92b4b8adc2ab50aebb20fa0f33e094a0814b3aa6d801d209909c35f
Download availability is being checked.File metadata
config.json771 bytes
3424143d…22d017943424143d1891db391c097d8c648d2075f09c5abcc7d53ae279a5b38722d01794
Download availability is being checked.File metadata
modules.json349 bytes
84e40c8e…7cf642cf84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf
Download availability is being checked.File metadata
tokenizer_config.json398 bytes
6e237016…35bb9a116e2370166fe46c0ddf8a4ba3a4dd76957f9b663b1a273cb627d0a75735bb9a11
Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB—Download availability is being checked.File metadata
README.md2.73 KB—Download availability is being checked.File metadata

Einen Download prüfen

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.