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ModelDeprecatedOpen weights
data quality66

Updated 4 h ago · first seen 11 Sept 2026

model_01M29A5C8TDZSD1Q1X0TW71WDP

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
ling-1tIdentifiers 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 MIT; 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: MIT License (permissive · SPDX MIT)

dimensions marked null are unknown, not false

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Status

Source:Artificial AnalysisT2observed 6 d agomedium

Model card

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 43 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Unavailable

  • Reasoning

    No

    Artificial Analysis · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:Artificial AnalysisT2observed 6 d agomedium

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=hard · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvarianthardreasoningoffconditions differ across rows → partially comparable2−55.3 ptvs gpt-5.6-solobs. 18 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · variant=Telecom · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantTelecomreasoningoffconditions differ across rows → partially comparable1non-primary groupobs. 18 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysis1−66.4 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningoffversion4.3conditions differ across rows → partially comparable2−44.2vs Claude Fable 5.1obs. 18 Sept 2026artificialanalysis.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningoffconditions differ across rows → partially comparable2−48.6 ptvs Grok 4.3obs. 18 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningoffconditions differ across rows → partially comparable2−51.8 ptvs Claude Fable 5.1obs. 18 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoningoffconditions differ across rows → partially comparable1non-primary groupobs. 18 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamond1−24.3 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 12 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Hardware fit37

Estimated

1 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
NVIDIA DGX B2004bit1,440 GB575.3 GB est.Yes
Apple M3 Ultra4bit575.3 GB est.No
Mac Studio (Apple M5 Ultra)4bit575.3 GB est.No
Apple M2 Ultra4bit575.3 GB est.No
Apple M1 Ultra4bit575.3 GB est.No
Apple M3 Max4bit575.3 GB est.No
Apple M4 Max4bit575.3 GB est.No
Mac Studio (Apple M5 Max)4bit575.3 GB est.No
MacBook Pro (Apple M5 Max)4bit575.3 GB est.No
Apple M2 Max4bit575.3 GB est.No
Apple M1 Max4bit575.3 GB est.No
Apple M4 Pro4bit575.3 GB est.No
Mac mini (Apple M5 Pro)4bit575.3 GB est.No
MacBook Pro (Apple M5 Pro)4bit575.3 GB est.No
Apple M3 Pro4bit575.3 GB est.No
Apple M1 Pro4bit575.3 GB est.No
Apple M2 Pro4bit575.3 GB est.No
Apple M44bit575.3 GB est.No
iMac (Apple M4)4bit575.3 GB est.No
Mac mini (Apple M6)4bit575.3 GB est.No
MacBook Air (Apple M5)4bit575.3 GB est.No
MacBook Pro (Apple M5)4bit575.3 GB est.No
Apple M24bit575.3 GB est.No
Apple M34bit575.3 GB est.No
Apple M14bit575.3 GB est.No
NVIDIA GeForce RTX 30904bit24 GB575.3 GB est.No
NVIDIA GeForce RTX 40904bit24 GB575.3 GB est.No
NVIDIA GeForce RTX 50904bit32 GB575.3 GB est.No
NVIDIA A100 80GB4bit80 GB575.3 GB est.No
NVIDIA H100 SXM4bit80 GB575.3 GB est.No
NVIDIA H100 NVL4bit94 GB575.3 GB est.No
NVIDIA DGX Spark4bit128 GB575.3 GB est.No
NVIDIA H2004bit141 GB575.3 GB est.No
NVIDIA H200 NVL4bit141 GB575.3 GB est.No
NVIDIA B2004bit180 GB575.3 GB est.No
AMD Instinct MI300X4bit192 GB575.3 GB est.No
AMD Instinct MI325X4bit256 GB575.3 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.

Versions & Artifacts0

Version history

Context windowfirst observation only

11 Sept 2026current

Licensefirst observation only

16 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Parametersfirst observation only

16 Sept 2026current

Statusfirst 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.

Papers3

Change history36

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

Back to today →

ling-1t was not yet in AI Atlas on 18 Mar 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
36 claims · 34 properties

Release daterelease_date1

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ValueValid from → toStatusSourceConfidenceExtractor
2 Oct 2025currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Statusstatus1

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ValueValid from → toStatusSourceConfidenceExtractor
deprecatedcurrentcurrentArtificial AnalysisT2mediumdeterministic

Opennessopenness1

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ValueValid from → toStatusSourceConfidenceExtractor
open-weightscurrentcurrentArtificial AnalysisT2mediumdeterministic

Licenselicense1

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ValueValid from → toStatusSourceConfidenceExtractor
MITcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
BailingMoeV2ForCausalLMcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
999.7BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

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ValueValid from → toStatusSourceConfidenceExtractor
128K tokenscurrentcurrentArtificial AnalysisT2mediumdeterministic

Modalitiesmodalities1

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ValueValid from → toStatusSourceConfidenceExtractor
textcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Input modalitiesmodalities_input1

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ValueValid from → toStatusSourceConfidenceExtractor
textcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Output modalitiesmodalities_output1

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ValueValid from → toStatusSourceConfidenceExtractor
textcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

Claim history for File size
ValueValid from → toStatusSourceConfidenceExtractor
1999.4 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
inclusionAI/Ling-1TcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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ValueValid from → toStatusSourceConfidenceExtractor
text-generationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/inclusionAI/Ling-1TcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads2

Claim history for Downloads
ValueValid from → toStatusSourceConfidenceExtractor
3,110currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
3,194supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
546currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Aa context windowaa_context_window1

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ValueValid from → toStatusSourceConfidenceExtractor
128,000 tokenscurrentcurrentArtificial AnalysisT2mediumdeterministic

Aa deprecatedaa_deprecated1

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ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentArtificial AnalysisT2mediumdeterministic

Aa opennessaa_openness1

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ValueValid from → toStatusSourceConfidenceExtractor
open-weightscurrentcurrentArtificial AnalysisT2mediumdeterministic

Accessaccess1

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ValueValid from → toStatusSourceConfidenceExtractor
opencurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Commercial use allowedcommercial_use_allowed1

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

Derivatives allowedderivatives_allowed1

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

Hf inference providershf_inference_providers1

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ValueValid from → toStatusSourceConfidenceExtractor
featherless-aicurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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ValueValid from → toStatusSourceConfidenceExtractor
2026-04-13T11:45:13+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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ValueValid from → toStatusSourceConfidenceExtractor
transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License keylicense_key1

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ValueValid from → toStatusSourceConfidenceExtractor
MITcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License rawlicense_raw1

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ValueValid from → toStatusSourceConfidenceExtractor
mitcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time2

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ValueValid from → toStatusSourceConfidenceExtractor
26,838currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
26,733supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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ValueValid from → toStatusSourceConfidenceExtractor
bailing_moecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Reasoningreasoning1

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ValueValid from → toStatusSourceConfidenceExtractor
NocurrentcurrentArtificial AnalysisT2mediumdeterministic

Redistribution allowedredistribution_allowed1

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

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
bailing_moe, custom_code, safetensors, text-generation, transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights availableweights_available1

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

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, F32currentcurrentHugging 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

34

Source tiers

T234

Freshest observation

5 h ago

Conflicts

None

Source documents 4

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/inclusionAI/Ling-1T/raw/main/README.md model_cardT2· Quality secondary4 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/inclusionAI/Ling-1T model_pageT2· Quality secondary5 h ago10
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=inclusionAI&p=0&sort=downloads listingT2· Quality secondary5 h ago34
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary6 h ago23

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

Data quality (66/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →