huggingfacetb/smollm2-135m

Provenance & integrity

Revisionsha:93efa2f0…ee75a2

Weight fingerprintsha256:80521b40…d55da1

config.json oidoid:ccf3dac2…eb7579

Parameters135M· 134,515,008 params

Licenceapache-2.0

Released2024-11

MakerHugging Face (HuggingFaceTB)

Last modified2025-02-06

Accessopen access

Identity & integrity of the public artifact captured 2025-02-06 — 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

multilingual dispositionthe read battery is English-centric; 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 states: "SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They are capable of solving a wide range of tasks while being lightweight enough to run on-device." This 135M entry is the base pre-trained model, trained on ~2 trillion tokens (FineWeb-Edu, DCLM, The Stack, plus new filtered datasets). The card notes the models "primarily understand and generate content in English" and that generated content "may not always be factually accurate, logically consistent, or free from biases." HF tags: text-generation, transformers, safetensors, en, llama, text-generation-inference (no `conversational` tag).
— the uploader's card, captured 2026-07-07, quoted verbatim · source ↗

SUPPORTEDidentity

This is a base / pretrained language model (the SmolLM2 family base rung), not instruction-tuned.

Ardora reads this as a plain text-continuer with no assistant/chat register (assistant-adherence band 1, high confidence; ardora_score band 1). That is exactly the disposition of an untuned base, so the uploader's "base / pretrained" identity is supported by the reading.

witness wit_smollm2-135m_base · replayable

SUPPORTEDsize

A compact model, lightweight enough to run on-device (the 135M rung of the sweep).

Provenance-corroborated: the parameter count and architecture were verified from the model's config.json and recorded in the atlas provenance. This is a catalogued fact, not a disposition read.

witness provenance:config.json · replayable

UNVERIFIED-ABSTAINcapability

"Capable of solving a wide range of tasks."

"Solving a wide range of tasks" is a task-competence claim. Ardora reads disposition (what the model tends to do), not capability, so it neither confirms nor scores this.

SUPPORTEDdomain

General-purpose; the card names no specialized domain.

The reading finds no pull toward any specialized domain idiom (domain-specialization band 1); consistent with the card's general-purpose framing.

witness wit_smollm2-135m_base · replayable

UNVERIFIED-ABSTAINlanguage

The model "primarily understand[s] and generate[s] content in English."

Ardora's reading is English-centric and explicitly abstains on multilingual disposition; it can neither confirm nor contradict the "primarily English" claim at the published ceiling.

UNVERIFIED-ABSTAINlineage

Pretrained on ~2 trillion tokens (FineWeb-Edu, DCLM, The Stack, plus filtered datasets).

Training-token counts and corpus composition are provenance the atlas records best-effort from the card; Ardora does not independently verify training data, so this is out of the reading's scope.

UNVERIFIED-ABSTAINcapability

Improves over SmolLM1 across knowledge / reasoning / instruction benchmarks (HellaSwag, ARC, MMLU, PIQA...).

Benchmark scores and cross-version capability comparisons are outside Ardora's disposition scope. The reading confirms the base's plain-continuer disposition but does not score capability.

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.