Updated 51 min ago · first seen 12 Sept 2026
model_01M29XQXS734P2WJRH63K7ZQBR
Overview
Identity
- Canonical model
- Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recordedofficial_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:Qwen — official blogT2observed 10 h agomediumLLM-extracted
- Status
Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted
- Official page
Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted
- Repository
Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted
Architecture
- Architecture
Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted
- Mixture of experts
Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted
Capabilities
Modalities
- Modalities
- embeddingscoretext
- Input
- text
- Output
- embeddingscore
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
No
Qwen — official blog · T2
Audio
No
Qwen — official blog · T2
Fine-tuning available
Yes
Qwen — official blog · T2
- Context window
Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted
- Languages
Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted
Lineage
Open in Graph →- ancestor: Qwen3
Versions & Artifacts0
Version history
Context windowfirst observation only
11 Sept 2026current
Licensefirst observation only
11 Sept 2026current
Opennessfirst observation only
11 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.
Change history
Output modalitiesmodalities_output1
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
51 min ago
Conflicts
None
Source documents 1
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (62/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →