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ModelCap

Dayhoff 170M UR90 1000

Official publisher releaseOpen weights

Microsoft·microsoft/Dayhoff-170M-UR90-1000

Dayhoff 170M UR90 1000 weight access is open weights, from ModelCap classification of published repository metadata as of 9 Sept 2026, 20:46 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
Not scored · 0% support · score interval not available
Market Gravity
5.0
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
Gateway spend
latest · Vercel share

ModelCap Index · Current board

Methodology
Not scored · no public benchmark rows
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
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 · microsoft/microsoft/Dayhoff-170M-UR90-1000 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata microsoft/Dayhoff-170M-UR90-1000@ec16ba5fb4aa84d3e609cd4720e1b9a096a27155 (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)
18.8
Surface (context / tools / modalities)
0.0
Freshness
43.6
  • · HF 30d downloads 193
  • · Catalogue surface
  • · First seen 2026-02-04

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

uncertainty-above-gate

Feature coverage
71%
Training support
187 models · 107 lineages

uncertainty-above-gate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
47.9
partial · 52% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, 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
5.0
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%
18.8

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

Freshness5%
43.6

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

Specification

Context window
tokens
Max output
Inputs
Text
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
4 Feb 2026

Capabilities

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

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
mit
Pinned revision
ec16ba5fb4aa
Parameters
170.3M
Architecture
JambaForCausalLM
Model type
jamba
Hugging Face downloads (30d)
193
Downloads (all time)
799
Likes
0
Repository updated
4 Feb 2026, 00:20 UTC

Dayhoff 170M UR90 1000: common questions

How does Dayhoff 170M UR90 1000 rank among AI models?

Dayhoff 170M UR90 1000 has no public ModelCap Index position as of 9 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does Dayhoff 170M UR90 1000 cost per 1M tokens?

No live API price is listed for Dayhoff 170M UR90 1000 in the current snapshot as of 9 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Dayhoff 170M UR90 1000 open-weight?

Open weights (mit). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is microsoft/Dayhoff-170M-UR90-1000 on Hugging Face.

When was Dayhoff 170M UR90 1000 released?

Dayhoff 170M UR90 1000 first appeared in the catalogue on 4 Feb 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.