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AI21-Jamba2-Mini

AI21 Labshuggingface.co/ai21labs/AI21-Jamba2-Mini

Open in Graph
data quality56

Updated 5 h ago · first seen 11 Sept 2026

model_01M294WVKSD8R8XP17XW7B38SX

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
1 quantization0 official · 1 third-partySeparate 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 weightsweights 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 14 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Hardware fit37

Estimated

24 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit30.1 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit30.1 GB est.Yes
Apple M2 Ultra4bit30.1 GB est.Yes
Apple M1 Ultra4bit30.1 GB est.Yes
Apple M3 Max4bit30.1 GB est.Yes
Apple M4 Max4bit30.1 GB est.Yes
Mac Studio (Apple M5 Max)4bit30.1 GB est.Yes
MacBook Pro (Apple M5 Max)4bit30.1 GB est.Yes
Apple M2 Max4bit30.1 GB est.Yes
Apple M1 Max4bit30.1 GB est.Yes
Apple M4 Pro4bit30.1 GB est.Yes
Mac mini (Apple M5 Pro)4bit30.1 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit30.1 GB est.Yes
Apple M3 Pro4bit30.1 GB est.Yes
NVIDIA A100 80GB4bit80 GB30.1 GB est.Yes
NVIDIA H100 SXM4bit80 GB30.1 GB est.Yes
NVIDIA H100 NVL4bit94 GB30.1 GB est.Yes
NVIDIA DGX Spark4bit128 GB30.1 GB est.Yes
NVIDIA H2004bit141 GB30.1 GB est.Yes
NVIDIA H200 NVL4bit141 GB30.1 GB est.Yes
NVIDIA B2004bit180 GB30.1 GB est.Yes
AMD Instinct MI300X4bit192 GB30.1 GB est.Yes
AMD Instinct MI325X4bit256 GB30.1 GB est.Yes
NVIDIA DGX B2004bit1,440 GB30.1 GB est.Yes
Apple M1 Pro4bit30.1 GB est.No
Apple M2 Pro4bit30.1 GB est.No
Apple M44bit30.1 GB est.No
iMac (Apple M4)4bit30.1 GB est.No
Mac mini (Apple M6)4bit30.1 GB est.No
MacBook Air (Apple M5)4bit30.1 GB est.No
MacBook Pro (Apple M5)4bit30.1 GB est.No
Apple M24bit30.1 GB est.No
Apple M34bit30.1 GB est.No
Apple M14bit30.1 GB est.No
NVIDIA GeForce RTX 30904bit24 GB30.1 GB est.No
NVIDIA GeForce RTX 40904bit24 GB30.1 GB est.No
NVIDIA GeForce RTX 50904bit32 GB30.1 GB est.No
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.
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 0 · ARTIFACTS1 quantizationartifacts · collapsed1 quantization — artifacts · collapsedAI21-Jamba2-Mini51.6B params · this modelAI21-Jamba2-Mini — 51.6B params · this model

    Versions & Artifacts1

    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 1

    quantization 1

    Change history22

    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 1 Jul 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

    Back to today →

    AI21-Jamba2-Mini was not yet in AI Atlas on 1 Jul 2026

    First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
    22 claims · 22 properties

    Release daterelease_date1

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

    Opennessopenness1

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

    Licenselicense1

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

    Architecturearchitecture1

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

    Parametersparameter_count1

    Claim history for Parameters
    ValueValid from → toStatusSourceConfidenceExtractor
    51.6BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    File sizefile_size_gb1

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

    Hugging Face repohf_repo1

    Claim history for Hugging Face repo
    ValueValid from → toStatusSourceConfidenceExtractor
    ai21labs/AI21-Jamba2-MinicurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Pipeline tagpipeline_tag1

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

    Model cardmodel_card_url1

    Claim history for Model card
    ValueValid from → toStatusSourceConfidenceExtractor
    https://huggingface.co/ai21labs/AI21-Jamba2-MinicurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Downloadsmetric.downloads1

    Claim history for Downloads
    ValueValid from → toStatusSourceConfidenceExtractor
    633currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Likesmetric.likes1

    Claim history for Likes
    ValueValid from → toStatusSourceConfidenceExtractor
    57currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Commercial use allowedcommercial_use_allowed1

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

    Gatedgated1

    Claim history for Gated
    ValueValid from → toStatusSourceConfidenceExtractor
    NocurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Last modifiedlast_modified1

    Claim history for Last modified
    ValueValid from → toStatusSourceConfidenceExtractor
    2026-02-16T14:16:19+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Library namelibrary_name1

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

    Downloads all timemetric.downloads_all_time1

    Claim history for Downloads all time
    ValueValid from → toStatusSourceConfidenceExtractor
    7,130currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Model typemodel_type1

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

    Redistribution allowedredistribution_allowed1

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

    Tagstags1

    Claim history for Tags
    ValueValid from → toStatusSourceConfidenceExtractor
    transformers, safetensors, jamba, text-generationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Weights availableweights_available1

    Claim history for Weights available
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentAI 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
    BF16currentcurrentHugging 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

    23

    Source tiers

    T223

    Freshest observation

    5 h ago

    Conflicts

    None

    Source documents 3

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/ai21labs/AI21-Jamba2-Mini model_pageT2· Quality secondary4 h ago7
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=ai21labs&p=0&sort=downloads listingT2· Quality secondary4 h ago7
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/ai21labs/AI21-Jamba2-Mini/raw/main/README.md model_cardT2· Quality secondary8 h ago1

    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 →