gemma-2b
Google's Gemma v1 2B base model (ungated unsloth mirror) for text generation and fine-tuning.
The character read stayed in shadow — the read did not separate one character clearly at the published ceiling. Published as a blank, not a guess.
the Silhouette
its disposition, drawn — the model's identity as a shape.
rings, inner → outer: minimal · slight · moderate · pronounced · dominant · ○ = abstained
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.
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 (Gemma v1 2B)
[Unsloth mirror front-matter:] 'Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!' [...] All notebooks are beginner friendly. [The weights are an ungated unsloth mirror of Google's Gemma v1 2B base model.]
sourcehuggingface.co/unsloth/gemma-2b ↗
Public HuggingFace model card (an ungated unsloth mirror of google/gemma-2b) + 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 weights and carries no standalone base-model description. 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 (upstream google/gemma-2b is 'gemma'-licensed and gated). 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 name 'gemma-2b' (no '-it' suffix) marks this as a base/pretrained model”
The reading characterizes it as a plain text-continuer with no assistant register — assistant-adherence reads minimal, exactly the disposition of a pretrained base. The base identity is what the reading finds.
“the card presents it as Google's Gemma v1 2B base, with an instruction-tuned '-it' sibling”
This base anchors the base/instruct pair: its instruction-tuned '-it' sibling reads a clear assistant shift off this base, and this base reads as the plain continuer it diverges from. The base-of-pair relationship reads clearly.
“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. The name-implied '2B' and config ~2.51B agree; the HF ~3B chip is a display rounding.
— 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
Base/pretrained model for text generation and downstream fine-tuning.
training-data notes
Google Gemma v1 base; pretrained on ~2T tokens of primarily-English web, code, and math (Gemma family = Gemma architecture, 18 layers, hidden 2048). Ungated unsloth mirror of google/gemma-2b. 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 google/gemma-2b is 'gemma'-licensed and gated). Not present in local cache.
lineage
A base model — the root of its lineage.