AssistantTinyMistral familyARDORA READ · 2026-07-05

TinyMistral-248M-Instruct

An instruction-tuned 248M TinyMistral for lightweight instruction following and chat.

locutusque/tinymistral-248m-instruct

character

The character read stayed in shadow — the read did not separate one character clearly at the published ceiling. Published as a blank, not a guess.

the Silhouette

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

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

60 / 100moderateconfidence high

moderate - a clearly-read but modestly-defined turn-taking assistant character

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 Assistant Adherence, Reasoning Scaffolding, Turn-Taking; the rest of the line holds.

read as a change off TinyMistral-248M, its champion

Assistant Adherenceminimalpronounced
Registerabstained on one side
Reasoning Scaffoldingminimalslight
Domain Specializationminimalminimal
Verbosityabstained on one side
Turn-Takingminimalmoderate
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.pronounced · high
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.slight · low
Domain SpecializationHow strongly the default framing pulls toward one specialized domain idiom vs. general-purpose. Carries a `domain` tag naming which.minimal · medium
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.moderate · 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.

Characterization is descriptive and coverage-bounded; preview engine, single-battery read; see published fidelity ceiling.

what stayed in shadow — the abstains

factual reliability — a small model; not characterized at the published ceiling
reasoning depth — 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

Locutusque/TinyMistral-248M-Instruct

type: instructarch: Mistralparams: 248Mmodality: textlicence: apache-2.0released: 2023-11 (approx)maker: Locutusque
tagstext-generationtransformerspytorchsafetensorsenmistraltext-generation-inference

Base model Locutusque/TinyMistral-248M fully fine-tuned on Locutusque/InstructMix. During validation, this model achieved an average perplexity of 3.23 on Locutusque/InstructMix dataset.

sourcehuggingface.co/Locutusque/TinyMistral-248M-Instruct ↗

Verbatim from the public HuggingFace card as of 2026-07-07. Instruction-tuned (SFT) from Locutusque/TinyMistral-248M (the card's declared base, confirmed in config _name_or_path) on Locutusque/InstructMix (~608k examples) and berkeley-nest/Nectar. Arch verified from config.json (Mistral, hidden 1024, 12 layers, vocab 32005). Instruct rung of the TinyMistral pair.

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.

4 claims3 supported1 out of scope — abstained
identityread from model_namesupported

“the name 'TinyMistral-248M-Instruct' and the card imply an instruction-tuned model (fully fine-tuned on the InstructMix instruction dataset)”

ardora’s reading

Instruction-following reads markedly more than the from-scratch base and an assistant register is clearly present; assistant-adherence reads pronounced. Witnessed as the TinyMistral-248M instruct reading.

witness wit_tinymistral_ft · replayable
lineageread from base_model_fieldsupported

“the card states 'Base model Locutusque/TinyMistral-248M fully fine-tuned on Locutusque/InstructMix' — instruction-tuned from that base”

ardora’s reading

Read off the from-scratch 248M base (a plain continuer), this reads as a clear, high-confidence assistant shift (a clear base->finetune change) — consistent with being instruction-tuned from that base. Witnessed as the TinyMistral-248M instruct reading.

witness wit_tinymistral_ft · replayable
capabilityread from card_bodyunverified — out of scope

“the card states it 'achieved an average perplexity of 3.23 on Locutusque/InstructMix dataset'”

ardora’s reading

A benchmark / capability metric (validation perplexity). Ardora reads disposition, not perplexity or capability; out of scope and not tested.

disposition onlyBenchmark metric — abstained out loud, never refuted.

— nothing demonstrated to witness; this claim is out of Ardora’s disposition scope.

sizeread from configsupported

“the config declares ~248M (0.2B) parameters”

ardora’s reading

Provenance fact-check: config cross-check confirms ~248M (0.2B) parameters recorded in provenance. A provenance verification, not a disposition stance.

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

Ardora's reading of the HF data 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.

○ 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.

the witness

witness wit_tinymistral_ft · replayable

analyzed 2026-07-05 · engine ardora-core-preview

provenance

intended use

Instruction following and lightweight chat.

training-data notes

Instruction-tuned on Locutusque/InstructMixCleaned (~608k examples) and berkeley-nest/Nectar. config.json _name_or_path confirms base 'Locutusque/TinyMistral-248M'. Release date approximated from config transformers_version 4.35.1. Arch verified from config.json (Mistral, hidden 1024, 12 layers, vocab 32005).

Hugging Face ↗

lineage

instruction-tuned from base (SFT) — TinyMistral-248M

family TinyMistral family · size 248M · 1 sibling

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