CatalogWantedMirrorsLedgerOperating StatementDocsStudio statusCard system
alt.freeweights.embed / LaBSE
From: sentence-transformers <huggingface.co/sentence-transformers>Newsgroups: alt.freeweights.embedSubject:

LaBSE

Date: 2026-11-14Commit: 836121aSigned: 2DC28CC7B26A283B ✓

Sentence similarity model with 471M parameters. Onnx and safetensors weights, 9.44 GB in all. Published by sentence-transformers under Apache-2.0.

471M params9.44GBLaBSEonnx safetensorspermissive
FactsParams471MSize9.44 GBFormatsonnx, safetensorsTasksentence similarityLicenseApache-2.0From sourcepermissive
$ fw get sentence-transformers/LaBSE
# manifest sha256 5b540ed66e9f… · 9.44 GB · 19 files
$ fw verify ./LaBSE sentence-transformers/LaBSE
From sourceHosted (signed)sentence-transformers/LaBSELast check: 2026-11-14 21:10 UTC
Run at homeGet help

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Works with

Run11Fine-tune8Convert8Evaluate1Scan2Apps16

Evaluate with

MTEB
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
9.44 GB
Weights
1.89 GB (safetensors)
Parameters
471M
Formats
onnx, safetensors
Task
sentence similarity
License
Apache-2.0 (permissive)
Files
19, each with a sha256
Publisher
sentence-transformers
Added
2026-11-14
Section
alt.freeweights.embed
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-14 21:10 UTCpassed

Model card

From the publisher at commit 836121a. Shown as plain text with links; images open at the publisher.

LaBSE#

This is a port of the LaBSE model to PyTorch. It can be used to map 109 languages to a shared vector space.

Usage (Sentence-Transformers)#

Using this model becomes easy when you have sentence-transformers installed:

pip install -U sentence-transformers

Then you can use the model like this:

from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('sentence-transformers/LaBSE')
embeddings = model.encode(sentences)
print(embeddings)

Full Model Architecture#

SentenceTransformer(
  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: BertModel 
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
  (2): Dense({'in_features': 768, 'out_features': 768, 'bias': True, 'activation_function': 'torch.nn.modules.activation.Tanh'})
  (3): Normalize()
)

Citing & Authors#

Have a look at LaBSE for the respective publication that describes LaBSE.

Files

19 files · 9.44 GBWeights 1.89 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 19 files with their sha256
FileSizesha256
.gitattributes445 B98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1
1_Pooling/config.json190 Bc9bef85e8bbf4b2eab4941b3fb62bd33f88686748b478f2e264d256472d9643b
2_Dense/config.json114 B02a7646de76be592655235523e09b5315c115bb770d91de87f21a9b0746723b5
2_Dense/model.safetensors2.36 MBf866c945fa2147ce4940c8ead0b4b20af4217e0f4664bd35f41c2a0967c4fe77
2_Dense/pytorch_model.bin2.36 MB06fb85120e40adf0ab188c4f0cc7684f702cb2023532947d1b85f325b0a3645c
README.md2.02 KB870cff82ed45dcb043794df684e527e0a0f36c71b641a015579e6f80ff4ca28c
config.json804 Bb6bd83d561db8d2ccb7f44dafcd945e39bea16dc2819072ffb10adb45608b029
config_sentence_transformers.json122 Bb8c64b5cece00d8424b4896ea75b512b6008576088497609dfeb6bd63e6d36b8
flax_model.msgpack1.88 GB4cbe50771a6b147d2da0beb6da1d80908a706cec2e2e06a09873649ed183e884
model.safetensors1.88 GB77d8e1f2dbab6eb5d3c261ce9d3dbf1e3c69e02938c95f934f94f42c22dfa31f
modules.json461 B41251094dfd3e7ff81a85ba97b3f4788df47e4039f1bc5037575b43c028beb40
onnx/model.onnx1.88 GB2a48ae86b3ef337ea47916915386180fe97ecbb73f0797b6f6b5550bb05c4979
pytorch_model.bin1.88 GBc9e7daf739f87c2168a6d1baffdae5782eceb03eb6de61950284a925234c6865
sentence_bert_config.json53 Bfc1993fde0a95c24ec6c022539d41cf6e2f7c9721e5415d6fb6897472a9cd4b7
special_tokens_map.json112 B303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3
tf_model.h51.88 GBe971d0404bba02ce8ab4568bc9625a74e6fbe99c7cdc927d5f3095597a70c55d
tokenizer.json9.62 MBd09046654dc5151fc313613f16768b6ecc1e5e3bddbc9c8aca209a5f23fe3cd3
tokenizer_config.json397 B9c5867ec63310dc2958daae8ccfabb226a2b6d317f407ade84d50315e7f9e80b
vocab.txt5.22 MB7453247caa2cf23116c1da332bec0cc1c9ef896b7803591a62ad2007b7a33c33
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
836121a053 pinned now manifest updated, same commit2026-11-14 21:10 UTC19 files · 9.44 GB
836121a0532026-11-14 21:10 UTC19 files · 9.44 GB

Use it

$ fw get sentence-transformers/LaBSE
# manifest sha256 5b540ed66e9f… · 9.44 GB · 19 files
$ fw verify ./LaBSE sentence-transformers/LaBSE
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/sentence-transformers/LaBSE.json --dir ./LaBSE $ python3 fw.py verify ./LaBSE ./sentence-transformers__LaBSE.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download sentence-transformers/LaBSE --revision 836121a0533e5664b21c7aacc5d22951f2b8b25b --local-dir ./LaBSE
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModel, AutoTokenizer tok = AutoTokenizer.from_pretrained("sentence-transformers/LaBSE", revision="836121a0533e5664b21c7aacc5d22951f2b8b25b") model = AutoModel.from_pretrained("sentence-transformers/LaBSE", revision="836121a0533e5664b21c7aacc5d22951f2b8b25b", device_map="auto")
sentence-transformersEmbed text with sentence-transformers.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/LaBSE", revision="836121a0533e5664b21c7aacc5d22951f2b8b25b") vectors = model.encode(["Hello"])
Run at home

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-14
Text in
README.md
Text sha256
870cff82ed45dcb043794df684e527e0a0f36c71b641a015579e6f80ff4ca28c
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: sentence-transformers <huggingface.co/sentence-transformers>Newsgroups: alt.freeweights.embedSubject: LaBSEDate: 2026-11-14Commit: 836121aSigned: 2DC28CC7B26A283B ✓
Upstream
sentence-transformers/LaBSE
Pinned commit
836121a0533e5664b21c7aacc5d22951f2b8b25b
Manifest
LaBSE.json · .minisig
Manifest sha256
5b540ed66e9fd001a9b43f9946065e29cb6205603f6300e50f11a8ebe246f3d6
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:10 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/sentence-transformers/LaBSE.json $ curl -O https://freeweights.allternit.com/manifests/sentence-transformers/LaBSE.json.minisig $ minisign -Vm LaBSE.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download sentence-transformers/LaBSE
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. LaBSE.json. Provenance. Takedown history: none.
Source
huggingface.co/sentence-transformers/LaBSE

Related models

All of alt.freeweights.embed →
From: sentence-transformers <huggingface.co/sentence-transformers>Subject: all-MiniLM-L6-v1
From: unsloth <huggingface.co/unsloth>Subject: all-MiniLM-L6-v2
From: mlx-community <huggingface.co/mlx-community>Subject: all-MiniLM-L6-v2-4bit
From: sentence-transformers <huggingface.co/sentence-transformers>Subject: all-mpnet-base-v1
From: sentence-transformers <huggingface.co/sentence-transformers>Subject: allenai-specter
From: sentence-transformers <huggingface.co/sentence-transformers>Subject: bert-base-nli-max-tokens