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gpt-oss-120b-w-a

OpenAIfamily · gpt-oss

Open in Graph
data quality35

Updated 1 h ago · first seen 12 Sept 2026

model_01M2AS5FTQ52NN3SYG4RJDDE90

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne 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
1 quantization0 official · 0 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

Openness not classified yet — no sourced evidence to place this model in the ontology.

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 0 · ARTIFACTS1 quantizationartifacts · collapsed1 quantization — artifacts · collapsedgpt-oss-120b-w-athis modelgpt-oss-120b-w-a — this model

    Versions & Artifacts1

    Version history

    No versioned property recorded yet.

    Artifacts 1

    quantization 1

    Timeline1

    Full timeline →

    Change history0

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

    No claims recorded yet

    Claims appear when a source states a fact; every later change is kept as a new claim.

    Provenance

    Attributed facts

    0

    Source tiers

    —

    Freshest observation

    —

    Conflicts

    None

    Source documents 1

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=amd&p=0&sort=downloads listingT2· Quality secondary2 h ago8

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

    Data quality (35/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →