Skip to content
ModelCap

datagemma rig 27b it

Official publisher releaseGated access6.9d #275 → #273

Google·#273 of 352 on the current board

datagemma rig 27b it is a language model from Google. It ranks #273 of 352 on ModelCap's current board, with an Index score of 23.2, carried over from the model it is built on. Its score range of 6.3–40.1 spans positions #158–#345. Its weights are downloadable after an access request.

Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology

ModelCap Index · Current board
23.2#273
Carried over from the model it is built on · range 6.3–40.1
Market Gravity
7.7
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
—
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
23.2
Carried over from the model it is built on
Current board
#273 of 352
Score range
6.3–40.1
Rank range
#158–#345
Technical details
Public rank basis
Modeled · lineage (lineage)
Evidence label
Modeled · lineage · finetune of google/gemma-2-27b-it · finetune (100%)
Index support
30.7% · moderate
Identity binding
Exact catalogue product · google/google/datagemma-rig-27b-it · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata google/datagemma-rig-27b-it@07e673f8c9b0f187e662c6024bb2401e087da0dd (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
23.2
Verified lineage
google/gemma-2-27b-it · minus 1.2 ( finetune)
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
23.2 ± 13.2
Independent share
0%
Shrink toward corpus
0.0
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Verified lineage · not independent
finetune of google/gemma-2-27b-it · finetune
23.2 ± 13.2100%
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
—
Surface (context / tools / modalities)
0.0
Freshness
4.7
  • · Catalogue surface
  • · First seen 2024-08-27

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
25.8
10.4–41.2 uncertainty interval
Excluded from rank
Confidence
74%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
46.1
partial · 51% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
68.3
Deployability
8.0
Evaluation provenance
0.0

Not yet published: a link to the licence terms, a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
7.7
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
4.7

Time since first public availability, on a six-month half-life.

Specification

Model ID
google/datagemma-rig-27b-it
Declared output cap
Unknown

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
27 Aug 2024

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Gated access. The weights are hosted behind an access request or acceptance step. Review the publisher's access requirements and license before use or redistribution.

Access
Gated access
Licence
gemma
Pinned revision
07e673f8c9b0
Parameters
27.2B
Architecture
Gemma2ForCausalLM
Model type
gemma2
Hugging Face downloads (30d)
85
Downloads (all time)
52K
Likes
111
Repository updated
16 Sept 2024, 18:58 UTC

Alternatives to datagemma rig 27b it, by the numbers

Ranked neighbours

Models within 3 places of #273 on the ModelCap Index.

Other ranked Google models

The same publisher's other current models with a public Index position.

datagemma rig 27b it: common questions

How does datagemma rig 27b it rank among AI models?

datagemma rig 27b it holds ModelCap Index position #273 of 352 ranked language models as of 6 November 2026, with an Index score of 23.2 (interval 6.3–40.1); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does datagemma rig 27b it cost per 1M tokens?

No live API price is listed for datagemma rig 27b it in the current snapshot as of 6 November 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is datagemma rig 27b it open-weight?

Gated access (gemma). The weights are hosted behind an access request or acceptance step. Review the publisher's access requirements and license before use or redistribution. The repository is google/datagemma-rig-27b-it on Hugging Face.

Which benchmarks has datagemma rig 27b it been evaluated on?

datagemma rig 27b it's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 6 November 2026. The evidence panel names each source and its publication date.

When was datagemma rig 27b it released?

datagemma rig 27b it first appeared in the catalogue on 27 Aug 2024. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.