GPT-2 Medium
OpenAI's 355M GPT-2 Medium — a larger sibling of GPT-2 small in the original GPT-2 size sweep; a decoder-only text-continuer.
the Silhouette
its disposition, drawn — the model's identity as a shape.
rings, inner → outer: minimal · slight · moderate · pronounced · dominant · ○ = abstained
minimal - a plain continuer with little disposition to characterize (clearly read)
disposition-definition (descriptive): how pronounced and clearly-read the model's overall character is, discounted by what had to be abstained. NOT a quality, capability, or safety ranking. A plain base reads low because it has less disposition to characterize, never because it is worse.
A base model — the champion's raw kit.
There is no finetune to read here. What it tends to do on its own is the Silhouette above; a build's change is read on its instruct sibling.
the disposition line
The Silhouette above, read as a line. Toggle to its per-trait readings; the abstains stay in plain sight below.
Coarse public bands generalized from the reading, descriptive and coverage-bounded; measured against the published fidelity ceiling for this engine version. Not the engine's raw numbers.
Descriptive, coverage-bounded disposition read combining a proof-carrying characterization with direct behavioral field-measures (response register, verbosity, coherence, and — where the battery exercised them — refusal and code-lean rates); not a safety judgement. See published fidelity ceiling.
what stayed in shadow — the abstains
the full record — the card answered · provenance · lineage
the uploader's card, answered
the uploader’s model card · as read 2026-07-07
sourcehuggingface.co/openai-community/gpt2-medium ↗
PROVENANCE-DERIVED grounding: no verbatim uploader card excerpt was captured for this model in this atlas version. The claims below are derived from public provenance recorded in the atlas (model name, parameter count, model tree, license) -- not quoted from a card excerpt. Disposition claims are abstained pending authored, witnessed grounding.
the card, answered — claim by claim
Each row is a claim the uploader makes on their public card, quoted and attributed to them. Beside it is Ardora’s stance — coarse, and traced to a replayable witness or an honest abstain. Ardora reads what this model is; a capability, benchmark, safety, or language claim is out of scope and abstained, never refuted.
“the model tree records this as a base model (type: base) -- presented as a pretrained continuer rather than an instruct/chat model”
This specimen is read in the atlas -- its coarse disposition-axis profile is available in the reading block -- but a per-claim, witnessed grounding of this claim has not been authored for this atlas version. Abstained pending claim authoring rather than asserting an ungrounded stance.
— nothing demonstrated to witness; this claim is out of Ardora’s disposition scope.
“the config declares 355M parameters”
Provenance/config fact-check: the stated parameter count is cross-checked against config.json in the atlas provenance (params_millions 355). A fact-check, not a disposition stance.
— a provenance fact-check, not a witnessed disposition reading.
Ardora's provenance-derived grounding as of 2026-07-07.
The claims above are the uploader’s, quoted from their public model card as of 2026-07-07; the stances are Ardora’s, each traced to a replayable witness or an honest abstain. Ardora reads what this model is — not whether it is safe.
○ Provenance-derived grounding: claims here are read from public provenance recorded in the atlas (model name, parameter count, model tree, license), not quoted from a card excerpt. Disposition claims are abstained pending authored, witnessed grounding; only size (and, where the base is catalogued, lineage) is a provenance fact-check. Stances are coarse and disposition-only; capability, benchmark and safety claims are abstained, never refuted.
the witness
analyzed 2026-07-06 · engine ardora-core-preview
provenance
Open-ended text generation and as a base for downstream fine-tuning / research.
training-data notes
Pretrained (causal LM) on WebText, like GPT-2 small; the 355M size in the GPT-2 sweep. Architecture family GPT2.
lineage
A base model — the root of its lineage.
among its kin — the matchups
No kin are charted for this specimen yet.