gemma-2b-it
Google's instruction-tuned Gemma v1 2B (ungated unsloth mirror) for chat and instruction following.
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 gemma-2b, 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
unsloth/gemma-2b-it (Gemma v1 2B IT)
[Unsloth mirror front-matter:] 'Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!' [...] [The weights are an ungated unsloth mirror of Google's Gemma v1 2B instruction-tuned (SFT + RLHF) model; a 'conversational' tag is asserted.]
sourcehuggingface.co/unsloth/gemma-2b-it ↗
Public HuggingFace model card (an ungated unsloth mirror of google/gemma-2b-it) + config.json, quoted as the uploader's self-report as of the capture date. The unsloth card is thin — it leads with the Unsloth finetuning banner over Google's Gemma-2b-it weights and carries no standalone model description; the model's instruction-tuned nature is carried by the '-it' name and the 'conversational' tag. NB (provenance): the unsloth repo is HF-tagged 'apache-2.0', but the weights are Google's Gemma and are governed by the Gemma Terms of Use. The HF 'params' chip shows ~3B (a coarse rounding of ~2.51B). Claims below are extracted from THIS snapshot.
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.
“the '-it' suffix + 'conversational' tag mark this as the instruction-tuned chat model”
The reading finds instruction-following markedly more than the base and an assistant/chat register clearly present — assistant-adherence reads pronounced. The instruction-tuned chat identity reads clearly.
“the card presents it as the instruction-tuned finetune of the Gemma v1 2B base”
Read off the Gemma v1 2B base, the finetune-change reads a clear assistant shift (magnitude: clear, high confidence) — the base-to-instruct move the card implies is exactly what the reading finds.
“the finetune is documented as instruction tuning via SFT + RLHF”
The assistant shift itself reads clearly (claim c1); but the specific tuning METHOD (SFT + RLHF) does not resolve into a distinct disposition fingerprint at the ceiling beyond that clear assistant shift — the read battery does not exercise the preference/refusal shapes RLHF targets. Consistent with the cross-family method-fingerprint null (finding sft-vs-dpo-fingerprint, witnessed on the OLMo-2 and Pythia lineages; not separately replicated on the Gemma family, so no Gemma-specific method separation is claimed).
disposition onlyDisposition only. The assistant register IS clearly read; it is the alignment-METHOD signature that does not separate. Not a claim the RLHF stage did not happen; whether it makes the model safer is out of scope.
“the Unsloth banner asserts finetuning speed/memory gains ('2.4x faster', '58% less' memory)”
A tooling/performance claim about the Unsloth finetuning library (training speed and memory), not about this model's disposition. Ardora reads disposition, not tooling throughput; out of scope, not tested.
— nothing demonstrated to witness; this claim is out of Ardora’s disposition scope.
“the name implies ~2B parameters (the HF params chip displays ~3B)”
Provenance/config fact-check: config declares ~2.51B parameters (params_millions 2506 in the atlas provenance), consistent with the 'Gemma 2B' name; HF's coarse 'params' chip rounds this to ~3B. A fact-check, not a disposition stance.
disposition onlyA provenance cross-check of the stated size, not a disposition reading.
— 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
analyzed 2026-07-05 · engine ardora-core-preview
provenance
Instruction following and chat.
training-data notes
Instruction-tuned Gemma v1 2B (SFT + RLHF). Ungated unsloth mirror of google/gemma-2b-it. NOTE: the unsloth mirror repo is HF-tagged 'apache-2.0', but the weights are Google's Gemma and are governed by the Gemma Terms of Use (upstream is 'gemma'-licensed and gated). Not present in local cache.
lineage
instruction-tuned from base (SFT + RLHF) — gemma-2b