alphaedge-ai

multilingual e5 small fra 16384

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 7 of 10 filessafetensors
Quick answer: compatibility and sources

Can I run multilingual-e5-small-fra-16384 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-small-fra-16384 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: 1af564f30c532ea129d59e828ccefdf9bf9144008c28b0c59ffbc45e7095911d. 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.

Page text updated .

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-small-fra-16384.
  • Open /artifact/hf-model-alphaedge-ai-multilingual-e5-small-fra-16384/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-alphaedge-ai-multilingual-e5-small-fra-16384 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-alphaedge-ai-multilingual-e5-small-fra-16384/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-small-fra-16384

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.

File大小SHA-256来源下载
Weights
model.safetensors111.7 MB
1af564f3…7095911d1af564f30c532ea129d59e828ccefdf9bf9144008c28b0c59ffbc45e7095911d
Download availability is being checked.File metadata
Tokenizer & config
1_Pooling/config.json200 bytes—Download availability is being checked.File metadata
config.json621 bytes
98b5619c…6308d87398b5619cceee3c11c2b83f2877f964b4cf5b3d7acefc8a379dedd1546308d873
Download availability is being checked.File metadata
modules.json387 bytes
c6e29747…5f902b04c6e29747481e8b5dd2b58401966aeac910de39092f90cda9a704b1545f902b04
Download availability is being checked.File metadata
sentence_bert_config.json57 bytes
948201d8…ee986529948201d8329907aae938fa62f9ceeed53f5694dacc2b87b9f3b78b37ee986529
Download availability is being checked.File metadata
special_tokens_map.json965 bytes
38d989b0…8653f73838d989b0fdad0fec0c67c14b1f3c8b68184022cf6d4adc5444526ced8653f738
Download availability is being checked.File metadata
tokenizer.json1.36 MB
ee228852…c918c596ee22885299d27f617a00cd163f2b82c199b1d383f8f39f124b40cdbfc918c596
Download availability is being checked.File metadata
tokenizer_config.json1.21 KB
563f7e5c…92abfc10563f7e5caefd0c844d810745ddfc48c9f765eaadbaebb0b319ad4f8592abfc10
Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB—Download availability is being checked.File metadata
README.md2.68 KB—Download availability is being checked.File metadata

检查下载文件

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.