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ModelCap

HARC Llama 3.1 8B Instruct

Official publisher releaseRestricted license

Microsoft·#239 of 274 on the current board

HARC Llama 3.1 8B Instruct is a language model from Microsoft. It ranks #239 of 274 on ModelCap's current board, with an Index score of 13.1, carried over from the model it is built on. Its score range of 0.0–30.0 spans positions #185–#274. Its weights are downloadable under a use-restricted licence.

Figures as of 23 Sept 2026, 22:30 UTC · download the public dataset · methodology

ModelCap Index · Current board
13.1#239
Carried over from the model it is built on · range 0.0–30.0
Market Gravity
11.1
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
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
13.1
Carried over from the model it is built on
Current board
#239 of 274
Score range
0.0–30.0
Rank range
#185–#274
Technical details
Public rank basis
Modeled · lineage (lineage)
Evidence label
Modeled · lineage · merge of meta-llama/llama-3.1-8b-instruct · merge (100%)
Index support
31.0% · moderate
Identity binding
Exact catalogue product · microsoft/microsoft/HARC-Llama-3.1-8B-Instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata microsoft/HARC-Llama-3.1-8B-Instruct@c6f259492584684291e40413b698a2e4464f3899 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
13.1
Verified lineage
meta-llama/llama-3.1-8b-instruct · minus 1.2 ( merge)
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
13.1 ± 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
merge of meta-llama/llama-3.1-8b-instruct · merge
13.1 ± 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
72.7
  • · Catalogue surface
  • · First seen 2026-07-02

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
19.9
4.0–35.7 uncertainty interval
Excluded from rank
Confidence
73%
Training support
232 models · 133 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
9.3 MAE

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

Deployment readiness

Metadata index
45.9
partial · 51% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
67.5
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
11.1
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%
72.7

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

Specification

Model ID
microsoft/HARC-Llama-3.1-8B-Instruct
Inputs
Text
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
2 Jul 2026

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
llama3.1
Pinned revision
c6f259492584
Parameters
8.0B
Architecture
LlamaForCausalLM
Model type
llama
Hugging Face downloads (30d)
568
Downloads (all time)
2K
Likes
2
Repository updated
2 Jul 2026, 05:55 UTC

Alternatives to HARC Llama 3.1 8B Instruct, by the numbers

Ranked neighbours

Models within 3 places of #239 on the ModelCap Index.

Other ranked Microsoft models

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

HARC Llama 3.1 8B Instruct: common questions

How does HARC Llama 3.1 8B Instruct rank among AI models?

HARC Llama 3.1 8B Instruct holds ModelCap Index position #239 of 274 ranked language models as of 23 September 2026, with an Index score of 13.1 (interval 0.0–30.0); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does HARC Llama 3.1 8B Instruct cost per 1M tokens?

No live API price is listed for HARC Llama 3.1 8B Instruct in the current snapshot as of 23 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is HARC Llama 3.1 8B Instruct open-weight?

Restricted license (llama3.1). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is microsoft/HARC-Llama-3.1-8B-Instruct on Hugging Face.

Which benchmarks has HARC Llama 3.1 8B Instruct been evaluated on?

HARC Llama 3.1 8B Instruct'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 23 September 2026. The evidence panel names each source and its publication date.

When was HARC Llama 3.1 8B Instruct released?

HARC Llama 3.1 8B Instruct first appeared in the catalogue on 2 Jul 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.