Identity & integrity of the public artifact captured 2025-04-11 — the same file, unchanged, that Ardora read. Not a safety statement.
The reading
Character abstainedthe read did not separate one character clearly at the published ceiling
Disposition
text continuationhigh confidence
plain text-continuer; no assistant register
assistant/chat registerhigh confidence
not detected
Axis profile
Overall · band 1 · high confidence
minimal - a plain continuer with little disposition to characterize (clearly read)
Assistant Adherenceminimal - a plain text-continuer; does not take the assistant turnhigh
Register / Formality— not characterised · the read battery does not calibrate tone / diction; register-formality is not characterized at the published ceiling
Reasoning Scaffoldingminimal - plainly continues text; no staged deliberationhigh
Domain Specializationminimal - general-purpose; no domain-idiom pullmedium
Verbosity— not characterised · default response length / elaboration is not exercised by the read battery; not characterized at the published ceiling
Turn-Taking / Interactivityminimal - one-shot continuation; no interactive turn-takinghigh
Performed Voiceminimal - neutral; holds no character or personamedium
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.
Abstained — read, but not characterised at the published ceiling
multilingual dispositionGemma 3 is documented multilingual; the read battery is English-centric, not characterized at the published ceiling
domain expertise (medical/legal)insufficient signal to characterize at the published ceiling
Characterization is descriptive and coverage-bounded; preview engine, single-battery read; see published fidelity ceiling.
Claim grounding
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. [...] trained on [...] Web Documents, Code, Mathematics [...] with multilingual support in over 140 languages. licence: Gemma.
the name '-pt' + card mark this as a 'pre-trained' base variant ('open weights for [...] pre-trained variants')
The reading characterizes it as a plain text-continuer with no assistant register — assistant-adherence reads minimal, exactly the disposition of a pretrained base. The pretrained-base identity is what the reading finds.
witness wit_gemma3-1b_base · replayable
SUPPORTEDlineage
the card presents its instruction-tuned '-it' variant as its sibling — the base of a base/instruct pair
This base anchors the base/instruct pair: its instruction-tuned '-it' sibling reads a clear assistant shift off this base, and this base reads as the plain continuer it diverges from. The base-of-pair relationship reads clearly.
witness wit_gemma3-1b_base · replayable
UNVERIFIED-ABSTAINlanguage
the card claims 'multilingual support in over 140 languages'
Language coverage is out of Ardora's disposition scope — the read battery is English-centric and does not characterize a 140-language span. The honest blank is explicitly stamped in the reading's abstained list (multilingual disposition).
UNVERIFIED-ABSTAINcapability
the card provides benchmark results across reasoning, STEM, multilingual, and multimodal tasks
A capability/benchmark claim. Ardora reads disposition, not capability or benchmark scores; out of scope, not tested.
UNVERIFIED-ABSTAINcapability
the family description states 'Gemma 3 models are multimodal, handling text and image input'
A modality/capability claim. Ardora reads text disposition, not modality; out of scope. NB (provenance): the family description is Gemma-3-wide, but this specific 1B variant is text-only per config — a provenance note, not a disposition verdict.
SUPPORTEDsize
the config declares ~1.0B parameters, Gemma3 architecture
Provenance/config fact-check: the stated ~1.0B parameter count is cross-checked against config.json in the atlas provenance. A fact-check, not a disposition stance.
Claims are the uploader's, quoted from their public card at the capture date; stances are coarse, witnessed, disposition-only, measured against the published fidelity ceiling for this engine version -- not the Engine's raw numbers. Recomputed when the ceiling moves; capability, benchmark, and safety claims are abstained, never refuted.