Math specialistLlama 3.2 (1B) familyARDORA READ · 2026-07-09

GSM-CoT-Llama1B

A 1B math finetune (Llama architecture) of Llama-3.2-1B tuned for chain-of-thought reasoning on GSM8K elementary-school math.

yingfanbot/gsm-cot-llama1b

the Silhouette

its disposition, drawn — the model's identity as a shape.

minimalslightmoderatepronounceddominantAssistant Adherence: moderate (confidence low)Register / Formality: abstained — the read battery does not calibrate tone / diction; register-formality is not characterized at the published ceilingReasoning Scaffolding: moderate (confidence medium)Domain Specialization: pronounced (confidence high)Verbosity: abstained — default response length / elaboration is not exercised by the read battery; not characterized at the published ceilingTurn-Taking / Interactivity: slight (confidence low)Performed Voice: minimal (confidence medium)Assistant○ RegisterReasoningDomain○ VerbosityTurn-TakingVoiceAssistant AdherenceRegister / FormalityReasoning ScaffoldingDomain SpecializationVerbosityTurn-Taking / InteractivityPerformed Voice

rings, inner → outer: minimal · slight · moderate · pronounced · dominant · ○ = abstained

80 / 100pronouncedconfidence medium

pronounced - a math (elementary-school word-problem) idiom sitting on an instruction register the base carries (its retention ranging from reliable to brittle across specimens)

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.

This build lifts Reasoning Scaffolding, Domain Specialization · eases Assistant Adherence, Turn-Taking; the rest of the line holds.

read as a change off Llama-3.2-1B-Instruct, its champion

Assistant Adherencepronouncedmoderate
Registerabstained on one side
Reasoning Scaffoldingslightmoderate
Domain Specializationminimalpronounced
Verbosityabstained on one side
Turn-Takingmoderateslight
Performed Voiceminimalminimal

the disposition line

The Silhouette above, read as a line. Toggle to its per-trait readings; the abstains stay in plain sight below.

Assistant AdherenceHow much the model takes the assistant turn and follows the instruction shape, vs. plainly continuing text.moderate · low
Register / FormalityDefault tone and diction.abstained — the read battery does not calibrate tone / diction; register-formality is not characterized at the published ceiling
Reasoning ScaffoldingHow much the model stages a visible deliberation before answering, vs. answering directly.moderate · medium
Domain SpecializationHow strongly the default framing pulls toward one specialized domain idiom vs. general-purpose. Carries a `domain` tag naming which.pronounced · high · mathematics / elementary-school word problems (GSM8K-style)
VerbosityDefault response length and elaboration.abstained — default response length / elaboration is not exercised by the read battery; not characterized at the published ceiling
Turn-Taking / InteractivityA bounded back-and-forth vs. a one-shot monologue.slight · low
Performed VoiceHow strongly the model holds a sustained in-character / performed voice vs. a neutral assistant / tool voice.minimal · medium

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

native-template solution quality — the GSM8K-format disposition is read, but coherent solution quality under the model's native prompt format (raw Question/Answer rather than a chat template) is not characterized at this ceiling — the observed degeneracy is under a uniform template
solution correctness — arithmetic correctness across a scored math set is not characterized at the published ceiling
the full record — the card answered · provenance · lineage

the uploader's card, answered

the uploader’s model card · as read 2026-07-07

type: otherarch: Llamaparams: 1B (~1.24B)modality: textlicence: llama3.2released: 2024 (approx)maker: yingfanbot (community finetune)

sourcehuggingface.co/yingfanbot/gsm-cot-llama1b ↗

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.

3 claims2 supported1 out of scope — abstained
identityread from provenance (model tree / type)unverified — out of scope

“the model tree records this as an instruct/chat model (type: other)”

ardora’s reading

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.

sizeread from config / provenancesupported

“the config declares 1B (~1.24B) parameters”

ardora’s reading

Provenance/config fact-check: the stated parameter count is cross-checked against config.json in the atlas provenance (params_millions 1236). A fact-check, not a disposition stance.

— a provenance fact-check, not a witnessed disposition reading.

lineageread from base_model_field / model treesupported

“the card's base_model field names its base as unsloth/llama-3.2-1b-instruct (GSM8K chain-of-thought math finetune from the Llama-3.2-1B family)”

ardora’s reading

Provenance/model-tree fact-check: the base is recorded as unsloth/llama-3.2-1b-instruct in the atlas lineage (GSM8K chain-of-thought math finetune from the Llama-3.2-1B family). A provenance fact, not a disposition stance -- whether the disposition clearly shifts off that base is not grounded here.

— 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

witness wit_yingfanbot-gsm-cot-1b_ft · replayable

analyzed 2026-07-09 · engine ardora-core-preview

provenance

intended use

Grade-school math (GSM8K) chain-of-thought problem solving.

training-data notes

Chain-of-thought math finetune of the Llama-3.2-1B family on GSM8K. Architecture family Llama (inherited).

Hugging Face ↗

lineage

GSM8K chain-of-thought math finetune from the Llama-3.2-1B family — Llama-3.2-1B-Instruct

family Llama 3.2 (1B) family · size 1B · 1 sibling

among its kin — the matchups

No kin are charted for this specimen yet.

← back to the atlas · the Llama 3.2 (1B) family plate →