2.8.2

2.8.2 (2026-02-19)

Fix

• fix: refactor from_* function in model metas (#4101)

• fix: refactor from_* function in model metas

• minor fixes based on review

• fixes from review

• format

• reworked computation of embedding size

• minor fixes

• fixed failed tests and typecheck

• Update mteb/models/model_meta.py

Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>

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Co-authored-by: Roman Solomatin <samoed.roman@gmail.com> (c916c0b)

Unknown

• add: jina-embeddings-v5-text family (#4102)

• add: jina-v5

• fix: linting error

• fix: missing values

• fix: remove useless code

• add: citation

• Update mteb/models/model_implementations/jina_models.py

Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>

• fix: use different mapping strategy

• fix implementation

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Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
Co-authored-by: Roman Solomatin <36135455+Samoed@users.noreply.github.com> (f607bae)

• model: Add the model ManiacLabs/miniac-embed (#4096)

• Add ManiacLabs/miniac-embed to MTEB

Adds ManiacLabs/miniac-embed. Sentence Transformers–compatible; 1024-d output, cosine similarity.

New file: mteb/models/model_implementations/maniac_labs.py

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Checklist

• I have filled out the ModelMeta object to the extent possible
• I have ensured that my model can be loaded using
  • mteb.get_model(model_name, revision) and
  • mteb.get_model_meta(model_name, revision)
• I have tested the implementation works on a representative set of tasks.
• The model is public, i.e., is available either as an API or the weights are publicly available to download

Co-authored-by: Cursor <cursoragent@cursor.com>

• add HuggingFace reference link and model revision

• Add reference URL: https://huggingface.co/ManiacLabs/miniac-embed
• Add revision: 0fe5413163ce75cf13e6351b39a8b6f321b64e79 (latest commit)

Addresses reviewer feedback from @ayush1298

Co-authored-by: Cursor <cursoragent@cursor.com>

• training_datasets: use dataset names only (drop author/org prefix)

Co-authored-by: Cursor <cursoragent@cursor.com>

• remove citation (leave blank)

Co-authored-by: Cursor <cursoragent@cursor.com>

• remove query prompt from loader_kwargs

Co-authored-by: Cursor <cursoragent@cursor.com>

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Co-authored-by: JD Pruett <85522589+jdpruett44@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com> (e64ed80)

• model: Add NIFE models (#4058)

• model: Add NIFE models

closes #3586

@stephantul can I ask you to review the metadata

ran it using:

import mteb

model = mteb.get_model("stephantulkens/NIFE-mxbai-embed-large-v1")

# dummy small tasks
task1 = mteb.get_task("LccSentimentClassification")
task2 = mteb.get_task("TwitterHjerneRetrieval")

results = mteb.evaluate(model, [task1, task2], encode_kwargs={"device": "cpu"}) # to prevent MPS error

which uses the encode function for the classification task Is that intended?

• updated based on review

• updated to new models and metadata

• fixes from review

• fixed revision (7f24538)