alt.freeweights.embed / msmarco-roberta-base-ance-firstp

From: sentence-transformers <huggingface.co/sentence-transformers>Newsgroups: alt.freeweights.embedSubject:

msmarco-roberta-base-ance-firstp

Date: 2026-11-15Commit: ff27158Signed: 2DC28CC7B26A283B ✓

Sentence similarity model with 125M parameters. Onnx and openvino and safetensors weights, 4.86 GB in all. Published by sentence-transformers under Apache-2.0.

125M params4.86GBmsmarco-roberta-base-ance-firstponnx openvino safetensorspermissive

FactsParams125MSize4.86 GBFormatsonnx, openvino, safetensorsTasksentence similarityLicenseApache-2.0From sourcepermissive

$ fw get sentence-transformers/msmarco-roberta-base-ance-firstp
# manifest sha256 12d84b7c63b1… · 4.86 GB · 34 files
$ fw verify ./msmarco-roberta-base-ance-firstp sentence-transformers/msmarco-roberta-base-ance-firstp

From sourceHosted (signed)sentence-transformers/msmarco-roberta-base-ance-firstpLast check: 2026-11-15 03:25 UTC

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Works with

Run11 Fine-tune8 Convert8 Evaluate1 Scan2 Apps16

Runs with

Ranked by fit to this model (onnx, openvino, safetensors), then by GitHub stars.

Text Embeddings Inference

Transformers Ultralytics LocalAI tinygrad OpenVINO Triton Inference Server BentoML CTranslate2 ExLlamaV2 LitServe

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sqlite-vec hnswlib pgvectorscale Infinity

Overview Model card Files Use it License Provenance Model tree

Overview

Size: 4.86 GB
Weights: 501 MB (safetensors)
Parameters: 125M
Formats: onnx, openvino, safetensors
Task: sentence similarity
License: Apache-2.0 (permissive)
Files: 34, each with a sha256
Publisher: sentence-transformers
Added: 2026-11-15
Section: alt.freeweights.embed

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Original release from the publisher.

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Sources

Badge	Host	Last check	Result
From source	huggingface.co	2026-11-15 03:25 UTC	passed

Model card

From the publisher at commit ff27158. Shown as plain text with links; images open at the publisher.

sentence-transformers/msmarco-roberta-base-ance-firstp#

This is a port of the ANCE FirstP Model to sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.

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/msmarco-roberta-base-ance-firstp')
embeddings = model.encode(sentences)
print(embeddings)

Full Model Architecture#

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: RobertaModel 
  (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.linear.Identity'})
  (3): LayerNorm(
    (norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
  )
)

Citing & Authors#

Have a look at: ANCE Model

Files

34 files · 4.86 GBWeights 501 MB (safetensors). Sizes and sha256 from the signed manifest.

Show all 34 files with their sha256

File	Size	sha256
.gitattributes	744 B	f888dc7c230287cd68af7034aa9fc2e2d6663fb7b3e70faa153caf93877914c3
1_Pooling/config.json	190 B	c9bef85e8bbf4b2eab4941b3fb62bd33f88686748b478f2e264d256472d9643b
2_Dense/config.json	114 B	f40a3730d1f27b5fc5389d4bfd24c320832a94d51f598386ce123a4879812001
2_Dense/model.safetensors	2.36 MB	24fdf9fa3f6012a6709c145d314064dc6dbac704ff6bec0c4a8e604bb6053c66
2_Dense/pytorch_model.bin	2.36 MB	74b35ef522b16d7ad53b338b3bd6448545446bb0a23a2dbbccdfe3e3baa2ae10
3_LayerNorm/config.json	22 B	614f3a8c484c82841f606fbbd0f011658908892b249a89e7d503f765c219378d
3_LayerNorm/model.safetensors	6.33 KB	b6f718dde419a47183e8165386cb94088860016c5d77187fca2b06de8a3bb873
3_LayerNorm/pytorch_model.bin	7.14 KB	236c1ec98a4ff4a5d3b5d0486159caa175e5b659cbdf009a04dee80f96c07cc4
README.md	1.67 KB	f91a93ecce0d62b91c9e6d5eadbe25b962de8bf5ba81f2b13fa3a4294e61b6da
config.json	787 B	7cc42679c3729174102fcce22edffbc01059b6c6c5b0192e8b09d0ab5e85250c
config_sentence_transformers.json	122 B	b8c64b5cece00d8424b4896ea75b512b6008576088497609dfeb6bd63e6d36b8
merges.txt	456 KB	fe36cab26d4f4421ed725e10a2e9ddb7f799449c603a96e7f29b5a3c82a95862
model.safetensors	499 MB	9516a4d87667ff6f2d553b6c6d48bcd29324c6662464a30a4551d6a6ce07acbd
modules.json	461 B	525ad50fbac17d55949b13c9281c584b44540d83f2de5f7bd7ce71cdc92a173a
onnx/model.onnx	496 MB	2deb417c87fdddbb5a3871f96599b13e1048b1b3747e55cd095e1f6f1c0bc27d
onnx/model_O1.onnx	496 MB	bba033c342b27b1ae6886712de7e07e2dbc74abf07b72eee3140a2c0113410e0
onnx/model_O2.onnx	496 MB	e482eee056c2851a100f0939f55215955fbdb4671cb3c2d05d7d25b1fe25ece3
onnx/model_O3.onnx	496 MB	5c827efd59a6c1515d35dc2ab6fe670898b54da872c8ca4672a1cb3c961de92e
onnx/model_O4.onnx	248 MB	55f9e9c18c40b1cf73313814f141cb35b4183c31e21c4ecd87f1aa0976575a87
onnx/model_qint8_arm64.onnx	125 MB	7455678216009452bcc4b0b36db9de5d02dd9f986022e5851022cd81dd8266be
onnx/model_qint8_avx512.onnx	125 MB	7455678216009452bcc4b0b36db9de5d02dd9f986022e5851022cd81dd8266be
onnx/model_qint8_avx512_vnni.onnx	125 MB	7455678216009452bcc4b0b36db9de5d02dd9f986022e5851022cd81dd8266be
onnx/model_quint8_avx2.onnx	125 MB	2bc2653bfda7f1e930a27ccab51b61eb52960df973c515af8c957de368c6641e
openvino/openvino_model.bin	496 MB	35bfadbec06c3f0ec26212ce3549c67fc97d087b50e97b72dd5ccfeff5a2e632
openvino/openvino_model.xml	409 KB	4df909ac7e87ba44560285fb04054f9c7948ddaa83ed5426e4c55e643ac82d3e
openvino/openvino_model_qint8_quantized.bin	125 MB	ad6017d52f0e9fe33c29ef9a43ad413ac924c66247e4f0fc7bf1413b521670a7
openvino/openvino_model_qint8_quantized.xml	718 KB	15d98d52b2b889c81bd3cc88446e3f2d6112850ced893ab28166b61d88005af5
pytorch_model.bin	499 MB	b736c647336c9da98bd068176a2c34ab081519d2b053f4cf2dfcd7ac1344de98
sentence_bert_config.json	52 B	84e39fda68ccbff05bfa723ae9c0e70e23e2ec373b76e0f8c6e71af72a693cbf
special_tokens_map.json	239 B	378eb3bf733eb16e65792d7e3fda5b8a4631387ca04d2015199c4d4f22ae554d
tf_model.h5	499 MB	8e1866fdadd59e8f5b2cfc8b970c7e0365f2b913ec10c8fb151ac359afc1e877
tokenizer.json	1.36 MB	33465117406b9007673e8ba283f7f1383d9b5094df947481af60eec94ed7d7bd
tokenizer_config.json	1.21 KB	19abf3bb202a2530a61979f8589a82d3e2e06c5f32a8daafa4872844a2dc1b18
vocab.json	798 KB	ed19656ea1707df69134c4af35c8ceda2cc9860bf2c3495026153a133670ab5e

VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.

Upstream commit	Date	Contents
ff27158320 pinned now	2026-11-15 03:25 UTC	34 files · 4.86 GB

Use it

$ fw get sentence-transformers/msmarco-roberta-base-ance-firstp
# manifest sha256 12d84b7c63b1… · 4.86 GB · 34 files
$ fw verify ./msmarco-roberta-base-ance-firstp sentence-transformers/msmarco-roberta-base-ance-firstp

fw.pyChecks the signature and every sha256, tries each source in order, resumes.

$ python3 fw.py get https://freeweights.allternit.com/manifests/sentence-transformers/msmarco-roberta-base-ance-firstp.json --dir ./msmarco-roberta-base-ance-firstp
$ python3 fw.py verify ./msmarco-roberta-base-ance-firstp ./sentence-transformers__msmarco-roberta-base-ance-firstp.json

hfThe Hugging Face CLI with one setting. Same repo id.

$ HF_ENDPOINT=https://freeweights.allternit.com hf download sentence-transformers/msmarco-roberta-base-ance-firstp --revision ff271583209552b908399e7059ac79a2d88dccc3 --local-dir ./msmarco-roberta-base-ance-firstp

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/msmarco-roberta-base-ance-firstp", revision="ff271583209552b908399e7059ac79a2d88dccc3")
model = AutoModel.from_pretrained("sentence-transformers/msmarco-roberta-base-ance-firstp", revision="ff271583209552b908399e7059ac79a2d88dccc3", 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/msmarco-roberta-base-ance-firstp", revision="ff271583209552b908399e7059ac79a2d88dccc3")
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. 2026-11-15
Text in: README.md
Text sha256: f91a93ecce0d62b91c9e6d5eadbe25b962de8bf5ba81f2b13fa3a4294e61b6da
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: msmarco-roberta-base-ance-firstpDate: 2026-11-15Commit: ff27158Signed: 2DC28CC7B26A283B ✓

Upstream: sentence-transformers/msmarco-roberta-base-ance-firstp
Pinned commit: ff271583209552b908399e7059ac79a2d88dccc3
Manifest: msmarco-roberta-base-ance-firstp.json · .minisig
Manifest sha256: 12d84b7c63b1c6569a9cb9e346966fbd375a548a95745efa192b4d1533e93047
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 03:25 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/sentence-transformers/msmarco-roberta-base-ance-firstp.json
$ curl -O https://freeweights.allternit.com/manifests/sentence-transformers/msmarco-roberta-base-ance-firstp.json.minisig
$ minisign -Vm msmarco-roberta-base-ance-firstp.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/msmarco-roberta-base-ance-firstp

Open in Freeweights Studio

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

Signed manifest

minisign, key 2DC28CC7B26A283B. msmarco-roberta-base-ance-firstp.json. Provenance. Takedown history: none.

Source

huggingface.co/sentence-transformers/msmarco-roberta-base-ance-firstp

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msmarco-roberta-base-ance-firstp

Works with

Runs with

Fine-tune with

Convert with

Evaluate with

Scan with

Works with

Overview

Model card

sentence-transformers/msmarco-roberta-base-ance-firstp#

Usage (Sentence-Transformers)#

Full Model Architecture#

Citing & Authors#

Files

Use it

License

Provenance

How to verify

Model tree

Related models