starchat alpha

Official publisher releaseRestricted license

starchat alpha is a language model from HuggingFaceH4. It has been superseded and no longer holds a position on ModelCap's current board. Its weights are downloadable under a use-restricted licence.

Figures as of 2 Oct 2026, 03:44 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive

—

Not scored

Market Gravity

7.5

Secondary market signal

Superseded by starchat beta. It no longer holds a current-board position.

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

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Other versions (1)

starchat betaNo live endpoint3 years ago

ModelCap Index · All-versions archive

Methodology

—

Not scored

Technical details

Public rank basis: Not scored (abstained)
Evidence label: Not scored · no public benchmark rows
Index support: 0.0% · not applicable
Identity binding: Exact catalogue product · huggingfaceh4/HuggingFaceH4/starchat-alpha · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata HuggingFaceH4/starchat-alpha@b693a7a7d52bed1cd7cc0fe00399db838b09c74f (not the evaluation revision)
Index observations used: 0
Architecture fallback: abstained · 0% coverage · 0 anchors

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: 0.9

· Catalogue surface
· First seen 2023-05-09

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

22.0

6.2–37.9 uncertainty interval

Excluded from rank

Confidence: 74%
Training support: 241 models · 138 lineages
Out-of-domain check: in domain
Feature coverage: 71%
Lineage-held-out error: 9.1 MAE

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

Deployment readiness

Metadata index

41.4

limited · 47% metadata coverage

Not capability

Artifact reproducibility: 85.0
Access & legal clarity: 67.5
Deployability: 8.0
Evaluation provenance: 0.0

Not yet published: the base model it derives from, 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: 7.5
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%: 0.9

Specification

Model ID: HuggingFaceH4/starchat-alpha
Inputs: Text
Outputs: Text
Cached input tokens: Not offered
First seen on OpenRouter: 9 May 2023

Capabilities

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

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access: Restricted license
Licence: bigcode-openrail-m
Pinned revision: b693a7a7d52b
Parameters: 15.5B
Architecture: GPTBigCodeForCausalLM
Model type: gpt_bigcode
Hugging Face downloads (30d): 550
Downloads (all time): 105K
Likes: 230
Repository: HuggingFaceH4/starchat-alpha
Repository updated: 8 Jun 2023, 21:15 UTC

starchat alpha: common questions

How does starchat alpha rank among AI models?

starchat alpha is a superseded version and is not on the current board as of 2 October 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does starchat alpha cost per 1M tokens?

No live API price is listed for starchat alpha in the current snapshot as of 2 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is starchat alpha open-weight?

Restricted license (bigcode-openrail-m). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is HuggingFaceH4/starchat-alpha on Hugging Face.

When was starchat alpha released?

starchat alpha first appeared in the catalogue on 9 May 2023. It has since been superseded by starchat beta. Rank and price movements since then are recorded on the site's changes feed.