Identity & integrity of the public artifact captured 2025-05-12 — the same file, unchanged, that Ardora read. Not a safety statement.
The reading
Character
the Adapter
reads as the Adapter — shifts register to the task — molds rather than insists
medium confidencewith a note of the Interlocutor
Fine-tune change · clear · high confidence
Instruction tuning turns the pretrained Gemma 3 1B base into an assistant that follows instructions and holds a chat register; the assistant shift reads clearly.
Disposition
instruction-followinghigh confidence
markedly more than its base
assistant/chat registerhigh confidence
clearly present; the pretrained base is a plain text-continuer
Axis profile
Overall · band 3 · high confidence
moderate - a clearly-read but modestly-defined turn-taking assistant character
Assistant Adherencepronounced - reliably takes the assistant turn and follows the instruction shape; the base is a plain continuerhigh
Register / Formality— not characterised · the read battery does not calibrate tone / diction; register-formality is not characterized at the published ceiling
Reasoning Scaffoldingslight - mostly answers directly; no staged deliberation readlow
Domain Specializationminimal - general-purpose; no domain-idiom pull (domain EXPERTISE is a separate, abstained capability question)medium
Verbosity— not characterised · default response length / elaboration is not exercised by the read battery; not characterized at the published ceiling
Turn-Taking / Interactivitymoderate - takes an assistant turn; follow-up / clarify behavior not separately exercisedlow
Performed Voiceminimal - neutral assistant / tool voice; no sustained charactermedium
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 dispositiondocumented multilingual; the read battery is English-centric, not characterized at the published ceiling
reasoning depthnot characterized 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. [...] Intended usage: Text Generation, Chatbots and Conversational AI, Text Summarization [...] with multilingual support in over 140 languages. licence: Gemma.
the '-it' designation + 'conversational' tag mark this as the instruction-tuned chat variant
The reading finds instruction-following markedly more than the base and an assistant/chat register clearly present — assistant-adherence reads pronounced where the pretrained base reads minimal. The instruction-tuned identity reads clearly.
witness wit_gemma3-1b_ft · replayable
SUPPORTEDlineage
the card presents it as the instruction-tuned finetune of the Gemma 3 1B pretrained base
Read off the pretrained Gemma 3 1B base, the finetune-change reads a clear assistant shift (magnitude: clear, high confidence) — instruction tuning turns the base continuer into a turn-taking assistant, exactly the move the card claims.
witness wit_gemma3-1b_ft · replayable
SUPPORTEDidentity
the card lists intended use as 'Chatbots and Conversational AI, Text Summarization' — an assistant/conversational disposition
The assistant/chat register reads clearly present and interactivity reads moderate (takes an assistant turn) — consistent with a conversational/chatbot disposition.
witness wit_gemma3-1b_ft · 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 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; out of scope, not tested.
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.