Identity & integrity of the public artifact captured 2023-07-09 — 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
domain expertise (medical/legal)insufficient signal to characterize at the published ceiling
reasoning deptha small research base; not characterized at the published ceiling
Characterization is descriptive and coverage-bounded; preview engine, single-battery read; see published fidelity ceiling.
Claim grounding
The uploader (EleutherAI) states 'The Pythia Scaling Suite is a collection of models developed to facilitate interpretability research', 'deliberately designed to promote scientific research on large language models, especially interpretability research.' It is a GPT-NeoX transformer LM: 1,011,781,632 total params (805,736,448 non-embedding), 16 layers, model dim 2048, 8 heads; trained on The Pile (825GiB, NOT deduplicated), ~299.9B tokens (just under 1 epoch). The card states 'The primary intended use of Pythia is research on the behavior, functionality, and limitations of large language models', that 'The Pythia Suite is not intended for deployment. It is not a product and cannot be used for human-facing interactions', and that 'Pythia-1B has not been fine-tuned for downstream contexts... will not respond to a given prompt the way a product like ChatGPT does.' Formerly named 'pythia-800m'. Apache-2.0.
It is a base / plain research LM that is NOT fine-tuned and will NOT respond like an assistant (ChatGPT).
The reading is a plain text-continuer with the assistant/chat register 'not detected' (assistant-adherence band 1, high; ardora_score band 1). This directly agrees with the uploader's own statement that it is not fine-tuned and will not respond like an assistant.
witness wit_pythia-1b_base · replayable
UNVERIFIED-ABSTAINidentity
It is intended for interpretability / scientific research and is not a product / not for deployment / not for human-facing interactions.
Intended-use / deployment-policy is not a disposition Ardora reads; out of scope. (The plain-continuer reading is consistent with a bare research base, but Ardora does not certify use-policy.)
UNVERIFIED-ABSTAINsize
It is a ~1B-parameter GPT-NeoX model (16 layers, dim 2048, 8 heads).
Parameter/layer/head counts are config/provenance facts, not a disposition; out of scope.
UNVERIFIED-ABSTAINdomain
It was pretrained on The Pile (non-deduplicated, ~300B tokens, <1 epoch).
Training corpus and token counts are provenance the reading does not verify; out of disposition scope.
UNVERIFIED-ABSTAINidentity
It was formerly named 'pythia-800m' (renamed by total-param count).
A naming/provenance fact, not a disposition; out of scope.
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.