Updated 1 h ago · first seen 12 Sept 2026
model_01M29XPDZVVVAAP1V1GKJ5JENJ
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
- 2 quantizations0 official · 2 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 weights— weights downloadable; 7 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
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Status
Source:DeepSeek — site & API docsT2observed 11 h agomediumLLM-extracted
- Version
Source:DeepSeek — site & API docsT2observed 11 h agomediumLLM-extracted
- Official page
Source:DeepSeek — site & API docsT2observed 11 h agomediumLLM-extracted
- Repository
Source:DeepSeek — site & API docsT2observed 11 h agomediumLLM-extracted
Capabilities
Modalities
Modalities unavailable.
Capabilities
Tool calling
Yes
DeepSeek — site & API docs · T2
Structured output
Yes
DeepSeek — site & API docs · T2
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
No structured attributes yet.
Lineage
Open in Graph →Versions & Artifacts2
Version history
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 2
quantizations 2
- amd/DeepSeek-R1-0528-MXFP4AMD · BF16/U8403.1 GB
- amd/DeepSeek-R1-0528-MXFP4-v2AMD · BF16/U8386.3 GB
Change history
Official pageofficial_url1
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
9
Source tiers
T29
Freshest observation
1 h ago
Conflicts
None
Source documents 2
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (48/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →