SmolLM2-360M-Instruct
Instruction-tuned 360M SmolLM2 for on-device assistants and chat.
reads as the Adapter — shifts register to the task — molds rather than insists
shifts register to the task — molds rather than insists · with a turn of the Interlocutor
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.
rings, inner → outer: minimal · slight · moderate · pronounced · dominant · ○ = abstained
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 SmolLM2-360M, its champion
the disposition line
The Silhouette above, read as a line. Toggle to its per-trait readings; the abstains stay in plain sight below.
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
the full record — the card answered · provenance · lineage
the uploader's card, answered
the uploader’s model card · as read 2026-07-07
The uploader states this is the instruction-tuned SmolLM2-360M, "developed through supervised fine-tuning" then "Direct Preference Optimization (DPO) using UltraFeedback." It supports instruction following, text rewriting, summarization and function calling; the card reports IFEval 41.0 and MT-Bench 3.66 and claims "significant advances over its predecessor SmolLM1, particularly in instruction following, knowledge, reasoning." Tagged `conversational`; primarily English. HF tags: text-generation, transformers, safetensors, en, llama, conversational, text-generation-inference.
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.
“This is an instruction-tuned / chat model (the name carries "-Instruct"; card and `conversational` tag describe instruction following and chat).”
Ardora reads a clearly-present assistant/chat register and instruction-following markedly more than its base (assistant-adherence band 4, high confidence; ardora_score band 3), where the base is a plain text-continuer. The uploader's instruct identity is squarely supported.
“Aligned via supervised fine-tuning (SFT) followed by Direct Preference Optimization (DPO) on UltraFeedback.”
The overall base->instruct assistant shift is clearly read, but the specific alignment METHOD (a DPO step vs plain SFT) does not resolve into a separate disposition at the published ceiling. This grounds in finding sft-vs-dpo-fingerprint: the alignment method leaves no distinct disposition fingerprint. Ardora reads that an assistant disposition is present, not which alignment step installed it -- so its disposition reads the same as a plain instruct sibling.
“Supports text rewriting, summarization, and function calling.”
Function calling, summarization and rewriting are task-competence claims Ardora does not test. It reads the assistant disposition, not whether these tasks succeed.
— nothing demonstrated to witness; this claim is out of Ardora’s disposition scope.
“Advances over SmolLM1 in instruction following / knowledge / reasoning (IFEval 41.0, MT-Bench 3.66, HellaSwag 52.1, GSM8K 7.43).”
Benchmark scores and cross-version capability comparisons are outside Ardora's disposition scope. The reading confirms the instruction-following DISPOSITION is present and clear, but does not score the capability numbers.
— nothing demonstrated to witness; this claim is out of Ardora’s disposition scope.
“General-purpose assistant; the card names no specialized domain.”
The reading finds no pull toward a specialized domain idiom (domain-specialization band 1); consistent with a general-purpose assistant.
“The model "primarily understand[s] and generate[s] content in English."”
Ardora's reading is English-centric and abstains on multilingual disposition; it neither confirms nor contradicts the "primarily English" claim.
— nothing demonstrated to witness; this claim is out of Ardora’s disposition scope.
“A compact model lightweight enough to run on-device.”
Provenance-corroborated from config.json (params, Llama architecture) and recorded in the atlas provenance; a catalogued fact, not a disposition read.
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
analyzed 2026-07-05 · engine ardora-core-preview
provenance
Instruction following, chat, and on-device assistants.
training-data notes
SFT on public + curated datasets, then DPO on UltraFeedback. Arch verified from config.json (Llama, hidden 960, 32 layers).
lineage
instruction-tuned from base (SFT + DPO) — SmolLM2-360M
among its kin — the matchups
Compare side by side →This model follows instructions and holds an assistant register; its base is a plain text-continuer. The shift is clear.
smaller siblingSmolLM2-135M-InstructAssistantscoremoderateThe same assistant disposition one size down; identical direction across the sweep, read slightly less cleanly at 135M.
larger siblingSmolLM2-1.7B-InstructAssistantscoremoderateThe same assistant disposition at the top of the sweep; the register reads especially cleanly at 1.7B.