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ModelActiveOpen weights

granite-embedding-311m-multilingual-r2

IBMfamily · Granitehuggingface.co/ibm-granite/granite-embedding-311

Open in Graph
data quality56

Updated 3 h ago · first seen 11 Sept 2026

model_01M294YP7PFNFB6SMSRD5EJBG6

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
None recorded
API aliases
NoneIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weights— weights downloadable under Apache-2.0; commercial use allowed; redistribution allowed; derivatives allowed; 4 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    Yes

  • Redistribution

    Yes

  • Derivatives

    Yes

Licence: Apache License 2.0 (permissive · SPDX Apache-2.0 · stated as “apache-2.0”)

dimensions marked null are unknown, not false

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Capabilities

Modalities

Modalities unavailable.

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Unavailable

  • Reasoning

    Unavailable

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

No capability flags have been observed from a source yet — we do not infer them.

Languages

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Hardware fit37

Estimated

37 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—0.7 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—0.7 GB est.Yes
Apple M2 Ultra4bit—0.7 GB est.Yes
Apple M1 Ultra4bit—0.7 GB est.Yes
Apple M3 Max4bit—0.7 GB est.Yes
Apple M4 Max4bit—0.7 GB est.Yes
Mac Studio (Apple M5 Max)4bit—0.7 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—0.7 GB est.Yes
Apple M2 Max4bit—0.7 GB est.Yes
Apple M1 Max4bit—0.7 GB est.Yes
Apple M4 Pro4bit—0.7 GB est.Yes
Mac mini (Apple M5 Pro)4bit—0.7 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit—0.7 GB est.Yes
Apple M3 Pro4bit—0.7 GB est.Yes
Apple M1 Pro4bit—0.7 GB est.Yes
Apple M2 Pro4bit—0.7 GB est.Yes
Apple M44bit—0.7 GB est.Yes
iMac (Apple M4)4bit—0.7 GB est.Yes
Mac mini (Apple M6)4bit—0.7 GB est.Yes
MacBook Air (Apple M5)4bit—0.7 GB est.Yes
MacBook Pro (Apple M5)4bit—0.7 GB est.Yes
Apple M24bit—0.7 GB est.Yes
Apple M34bit—0.7 GB est.Yes
Apple M14bit—0.7 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB0.7 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB0.7 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB0.7 GB est.Yes
NVIDIA A100 80GB4bit80 GB0.7 GB est.Yes
NVIDIA H100 SXM4bit80 GB0.7 GB est.Yes
NVIDIA H100 NVL4bit94 GB0.7 GB est.Yes
NVIDIA DGX Spark4bit128 GB0.7 GB est.Yes
NVIDIA H2004bit141 GB0.7 GB est.Yes
NVIDIA H200 NVL4bit141 GB0.7 GB est.Yes
NVIDIA B2004bit180 GB0.7 GB est.Yes
AMD Instinct MI300X4bit192 GB0.7 GB est.Yes
AMD Instinct MI325X4bit256 GB0.7 GB est.Yes
NVIDIA DGX B2004bit1,440 GB0.7 GB est.Yes
Assumptions (7)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead (or the observed artifact file size when one is recorded).
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache: 2 × layers × kv_heads × head_dim × 2 bytes × context × batch when the architecture is known; otherwise 0.5 GB per 8 192 tokens (× batch), independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
  • Multi-GPU: device memories are summed; interconnect bandwidth, tensor-parallel replication and pipeline bubbles are not modelled.

Versions & Artifacts0

Version history

Licensefirst observation only

11 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Parametersfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Papers2

Change history26

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 11 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Attributes as of 11 Sept 2026 22 claims in force

Release date
20 Apr 2026
Openness
open-weights
License
Apache-2.0
Architecture
ModernBertModel
Parameters
311.7M
Languages
ar, az, bg, bn, ca, cs, da, de, el, en, es, et, fa, fi, fr, he, hi, hr, hu, id, is, it, ja, ka, kk, km, ko, lt, lv, mr, ms, nl, no, pl, pt, ro, ru, sk, sl, sq, sr, sv, sw, te, th, tl, tr, uk, ur, uz, vi, zh
Quantization format
onnx
File size
0.6 GB
Hugging Face repo
ibm-granite/granite-embedding-311m-multilingual-r2
Pipeline tag
feature-extraction
Downloads
120,372
Likes
130
Gated
No
Hf inference providers
hf-inference
Is quantized
Yes
Last modified
2026-05-18T20:15:41+00:00
Library name
sentence-transformers
Downloads all time
721,749
Model type
modernbert
Tags
sentence-transformers, onnx, safetensors, openvino, modernbert, feature-extraction, granite, embeddings, transformers, multilingual, mteb, sentence-similarity, matryoshka, ar, az, bg, bn, ca, cs, da, de, el, en, es, et, fa, fi, fr, he, hi
Weights dtype
BF16
26 claims · 26 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
20 Apr 2026 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

Claim history for License
ValueValid from → toStatusSourceConfidenceExtractor
Apache-2.0 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

Claim history for Architecture
ValueValid from → toStatusSourceConfidenceExtractor
ModernBertModel → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
311.7M → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Languageslanguages1

Claim history for Languages
ValueValid from → toStatusSourceConfidenceExtractor
ar, az, bg, bn, ca, cs, da, de, el, en, es, et, fa, fi, fr, he, hi, hr, hu, id, is, it, ja, ka, kk, km, ko, lt, lv, mr, ms, nl, no, pl, pt, ro, ru, sk, sl, sq, sr, sv, sw, te, th, tl, tr, uk, ur, uz, vi, zh → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Quantization formatquant_format1

Claim history for Quantization format
ValueValid from → toStatusSourceConfidenceExtractor
onnx → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

Claim history for File size
ValueValid from → toStatusSourceConfidenceExtractor
0.6 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
ValueValid from → toStatusSourceConfidenceExtractor
ibm-granite/granite-embedding-311m-multilingual-r2 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

Claim history for Pipeline tag
ValueValid from → toStatusSourceConfidenceExtractor
feature-extraction → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

Claim history for Model card
ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

Claim history for Downloads
ValueValid from → toStatusSourceConfidenceExtractor
120,372 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

Claim history for Likes
ValueValid from → toStatusSourceConfidenceExtractor
130 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Commercial use allowedcommercial_use_allowed1

Claim history for Commercial use allowed
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Derivatives allowedderivatives_allowed1

Claim history for Derivatives allowed
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Gatedgated1

Claim history for Gated
ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hf inference providershf_inference_providers1

Claim history for Hf inference providers
ValueValid from → toStatusSourceConfidenceExtractor
hf-inference → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Is quantizedis_quantized1

Claim history for Is quantized
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

Claim history for Last modified
ValueValid from → toStatusSourceConfidenceExtractor
2026-05-18T20:15:41+00:00 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

Claim history for Library name
ValueValid from → toStatusSourceConfidenceExtractor
sentence-transformers → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

Claim history for Downloads all time
ValueValid from → toStatusSourceConfidenceExtractor
721,749 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

Claim history for Model type
ValueValid from → toStatusSourceConfidenceExtractor
modernbert → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Redistribution allowedredistribution_allowed1

Claim history for Redistribution allowed
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Tagstags1

Claim history for Tags
ValueValid from → toStatusSourceConfidenceExtractor
sentence-transformers, onnx, safetensors, openvino, modernbert, feature-extraction, granite, embeddings, transformers, multilingual, mteb, sentence-similarity, matryoshka, ar, az, bg, bn, ca, cs, da, de, el, en, es, et, fa, fi, fr, he, hi → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights availableweights_available1

Claim history for Weights available
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
BF16 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

28

Source tiers

T228

Freshest observation

3 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=ibm-granite&p=0&sort=downloads listingT2· Quality secondary3 h ago7
Hugging Face Hub (public pages, model cards, papers)huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2/raw/main/README.md model_cardT2· Quality secondary6 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/ibm-granite/granite-embedding-311m-multilingual-r2 model_pageT2· Quality secondary7 h ago5

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (56/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →