gpt2 distill chennus

Official publisher releaseLicense unverified

DedeProGames·DedeProGames/gpt2-distill-chennus

gpt2 distill chennus is a language model published by DedeProGames (Modeled · prior ModelCap evidence (not a public board rank)). The latest OpenRouter endpoint refresh was unavailable, so no current serving claim is made. It accepts text input and returns text.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board

52.3

Estimated · 5% support · score interval 24.0–80.5

No admitted evaluation publication timestamp yet

Market Gravity

9.2

Secondary market signal

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

Input

Unlisted

no listed API price

Output

Unlisted

no listed API price

Context

—

tokens

Providers

endpoints

Gateway spend

—

latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology

52.3

Modeled · prior · calibrated architecture-and-release-era fallback from static public metadata

Public rank basis: Modeled · prior (architecture)
Index support: 4.7% · weak
Index interval: 24.0–80.5
Rank posterior: Not available
Top 5 / Top 10 probability: Not available / Not available
Posterior as of: Snapshot timestamp unavailable
Evidence as of: No admitted evaluation publication timestamp
Identity binding: Exact catalogue product · dedeprogames/DedeProGames/gpt2-distill-chennus · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata DedeProGames/gpt2-distill-chennus@26565748d4f7b7bbbb73a35e83ce079a6b5a3a93 (not the evaluation revision)
Index observations used: 0
Qualified Index evidence point: 52.3

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: 52.3 ± 22.1
Independent share: 0%
Shrink toward corpus: 0.0
Optimism haircut: None applied
Method: precision-weighted-v1

Channels fused into this model’s launch placement
Channel	Estimate	Share
Publisher corpus prior · not independent global-corpus-prior over 186 held-out anchors	52.3 ± 22.1	100%

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: 33.2

· Catalogue surface
· First seen 2025-11-27

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

Estimator abstained

out-of-domain

Feature coverage: 71%
Training support: 192 models · 109 lineages

out-of-domain. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index

34.4

limited · 40% metadata coverage

Not capability

Artifact reproducibility: 85.0
Access & legal clarity: 32.5
Deployability: 8.0
Evaluation provenance: 0.0

Missing: artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage

Market Gravity: 9.2
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
Liquidity25%: 0.0
Open reach15%: 50.0
Freshness5%: 33.2

Specification

Context window: — tokens
Max output: —
Inputs: Text
Outputs: Text
Tokenizer: —
Cached input tokens: Not offered
First seen on OpenRouter: 27 Nov 2025

Capabilities

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

Weights & access

License unverified. A weight repository exists, but ModelCap could not verify its license classification from the current source metadata.

Access: License unverified
Pinned revision: 26565748d4f7
Parameters: 124.4M
Architecture: GPT2LMHeadModel
Model type: gpt2
Hugging Face downloads (30d): 16
Downloads (all time): 89
Likes: 0
Repository: DedeProGames/gpt2-distill-chennus
Repository updated: 27 Nov 2025, 22:59 UTC