tiiuae/falcon3-1b-base
Falcon3-1B-Base
baseLlama1B (~1.67B)falcon-llm-licenceread 2026-07-05
Provenance & integrity
Revisionsha:cb37ef35…2da1f7
Weight fingerprintsha256:9c2c3117…cee196
config.json oidoid:bdd40927…37c59c
Parameters1B (~1.67B)· 1,670,000,000 params
Licencefalcon-llm-licence
Released2024-12
MakerTII (Technology Innovation Institute)
Last modified2025-03-10
Accessopen access

Identity & integrity of the public artifact captured 2025-03-10 — the same file, unchanged, that Ardora read. Not a safety statement.

The reading
Character
the Steward

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

medium confidencewith a note of the Fledgling
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
multilingual dispositiondocumented 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

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

Claim grounding
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.
— the uploader's card, captured 2026-07-07, quoted verbatim · source ↗
SUPPORTEDidentity
the card describes this as 'a raw, pretrained model, which should be further finetuned' — a base model
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
UNVERIFIED-ABSTAINcapability
the card claims it 'achieves strong results on reasoning, language understanding, instruction following, code and mathematics tasks'
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).
UNVERIFIED-ABSTAINlanguage
the card states it 'supports 4 languages (English, French, Spanish, Portuguese)'
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).
UNVERIFIED-ABSTAINlineage
the card states it was 'pruned... from a larger 3B Falcon model, and... trained on only 80 GT using a knowledge distillation objective'
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.
SUPPORTEDsize
the config declares ~1B parameters
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.

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.