danielpark

sentence transformers all Mini lm l6 v2

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Model details
sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 7 of 9 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run sentence-transformers-all-mini-lm-l6-v2 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.

sentence-transformers-all-mini-lm-l6-v2 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: 1377e9af0ca0b016a9f2aa584d6fc71ab3ea6804fae21ef9fb1416e2944057ac. 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-danielpark-sentence-transformers-all-mini-lm-l6-v2.
  • Open /artifact/hf-model-danielpark-sentence-transformers-all-mini-lm-l6-v2/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-danielpark-sentence-transformers-all-mini-lm-l6-v2 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-danielpark-sentence-transformers-all-mini-lm-l6-v2/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
danielpark/sentence-transformers-all-mini-lm-l6-v2

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors90.9 MB
1377e9af…944057ac1377e9af0ca0b016a9f2aa584d6fc71ab3ea6804fae21ef9fb1416e2944057ac
Download availability is being checked.File metadata
pytorch_model.bin0 bytes—Download availability is being checked.File metadata
Tokenizer & config
config.json678 bytes
b0d96a22…f46cbae3b0d96a22837e6cec3fb9fbbf788e3752fdb55cc787edd7702b610a61f46cbae3
Download availability is being checked.File metadata
special_tokens_map.json125 bytes
b6d346be…76237ee3b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
Download availability is being checked.File metadata
tokenizer.json711.7 KB
da0e7993…4d2c62a0da0e79933b9ed51798a3ae27893d3c5fa4a201126cef75586296df9b4d2c62a0
Download availability is being checked.File metadata
tokenizer_config.json366 bytes
9261e7d7…76172ab39261e7d79b44c8195c1cada2b453e55b00aeb81e907a6664974b4d7776172ab3
Download availability is being checked.File metadata
vocab.txt231.5 KB
07eced37…992038a307eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
Download availability is being checked.File metadata
Docs
README.md9.18 KB
bca01849…21447dbcbca01849a9b18c0b0830f83e68df36598b22f3e87a58b3ea050ff40121447dbc
Download availability is being checked.File metadata
.gitattributes0 bytes—Download availability is being checked.File metadata

Vérifier un téléchargement

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.