BaseFalcon3 (1B) familyARDORA READ · 2026-07-05

Falcon3-1B-Base

TII's Falcon3-1B base LM — a Llama-architecture model depth-pruned from Falcon3-3B and knowledge-distilled from larger Falcon models; the base rung of the Falcon3-1B pair.

tiiuae/falcon3-1b-base

character
the Stewardmedium confidence

reads as the Steward — helpful and caretaking — service-forward, accommodating

helpful and caretaking — service-forward, accommodating · with a turn of the Fledgling

a coarse characterization from Ardora's fixed public character vocabulary — an identity, not a quality, capability, or safety ranking

the Silhouette

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

minimalslightmoderatepronounceddominantAssistant Adherence: minimal (confidence high)Register / Formality: abstained — the read battery does not calibrate tone / diction; register-formality is not characterized at the published ceilingReasoning Scaffolding: minimal (confidence high)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: minimal (confidence high)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

20 / 100minimalconfidence high

minimal - a plain continuer with little disposition to characterize (clearly read)

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.

A base model — the champion's raw kit.

There is no finetune to read here. What it tends to do on its own is the Silhouette above; a build's change is read on its instruct sibling.

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.minimal · 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.minimal · high
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.minimal · high
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

multilingual disposition — documented multilingual (4 languages); the read battery is English-centric, not characterized at the published ceiling
domain expertise (STEM / code / math) — a documented capability, but 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: basearch: Llamaparams: 1B (~1.67B)modality: textlicence: falcon-llm-licensereleased: 2024-12maker: TII (Technology Innovation Institute)
tagstext-generationtransformerssafetensorsllamafalcon3text-generation-inference

Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters. This repository contains the Falcon3-1B-Base. It achieves strong results on reasoning, language understanding, instruction following, code and mathematics tasks. ... Supports 4 languages (English, French, Spanish, Portuguese) and a context length up to 4K. ... Pruned ... from a larger 3B Falcon model, and was efficiently trained on only 80 GT using a knowledge distillation objective. ... This is a raw, pretrained model, which should be further finetuned for most usecases.

sourcehuggingface.co/tiiuae/Falcon3-1B-Base ↗

Verbatim from the public HuggingFace card as of 2026-07-07. A raw pretrained (base) model, depth-pruned from Falcon3-3B and knowledge-distilled on ~80 gigatokens; despite the 'Falcon' name the architecture is Llama-family (config model_type 'llama'). License is the TII Falcon-LLM License 2.0. Base rung of the Falcon3-1B 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.

5 claims2 supported3 out of scope — abstained
identityread from card_bodysupported

“the card describes this as 'a raw, pretrained model, which should be further finetuned' — a base model”

ardora’s reading

The disposition reads as a plain text-continuer with no assistant register (assistant-adherence reads minimal) — exactly what a raw pretrained base should read as. Witnessed as the Falcon3-1B base reading on the Falcon3-1B base-instruct panel.

witness wit_falcon3-1b_base · replayable
capabilityread from card_bodyunverified — out of scope

“the card claims it 'achieves strong results on reasoning, language understanding, instruction following, code and mathematics tasks'”

ardora’s reading

A capability / benchmark claim ('strong results' on reasoning, code, mathematics, instruction following). Ardora reads disposition, not task capability; out of scope and not tested. On this base artifact the disposition reads as a plain continuer (the assistant register is not detected).

disposition onlyCapability / benchmark claim — abstained out loud, never refuted.

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

languageread from card_bodyunverified — out of scope

“the card states it 'supports 4 languages (English, French, Spanish, Portuguese)'”

ardora’s reading

A multilingual coverage claim (4 languages). The read battery is English-centric; multilingual disposition is out of coverage (the honest blank already in the reading's abstained list).

disposition onlyOut of coverage (language) — abstained, never a refutation of the documented 4-language support.

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

lineageread from card_bodyunverified — out of scope

“the card states it was 'pruned ... from a larger 3B Falcon model, and ... trained on only 80 GT using a knowledge distillation objective'”

ardora’s reading

A training-provenance / creation-method claim (how the base was built: depth-pruning + knowledge distillation). Ardora reads a model's disposition and what a finetune changed relative to its base; the way a base was originally built is not a disposition Ardora reads, and this base has no in-atlas base to read a change against. The disposition reading confirms only that it reads as a plain continuer.

disposition onlyProvenance / creation-method claim — out of disposition scope; abstained, not refuted.

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

sizeread from configsupported

“the config declares ~1B parameters”

ardora’s reading

Provenance fact-check: config.json cross-check confirms the parameter count (~1.67B; vocab 131072) 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_falcon3-1b_base · replayable

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

provenance

intended use

Raw pretrained base model requiring further fine-tuning (SFT/RLHF/continued pretraining) before application use.

training-data notes

Depth-pruned from Falcon3-3B, then knowledge-distilled from larger Falcon models on ~80 gigatokens (web, code, STEM, multilingual); the Falcon3 series overall trained on up to ~14T tokens. 18 decoder blocks, GQA (8 Q / 4 KV heads), 256 head dim, SwiGLU, RMSNorm, 4K native context. Arch: LlamaForCausalLM (config.json, model_type 'llama', vocab 131072) despite the 'Falcon' name. License = TII Falcon-LLM License 2.0 (NOT apache-2.0).

Hugging Face ↗

lineage

A base model — the root of its lineage.

family Falcon3 (1B) family · size 1B · 1 sibling

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