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ModelCap

Llama 3.1 Nemotron 70B Instruct HF

Current board #185Official publisher releaseRestricted license

NVIDIA·nvidia/Llama-3.1-Nemotron-70B-Instruct-HF

Llama 3.1 Nemotron 70B Instruct HF is ModelCap current-board rank #185 with Index 17.9 (Modeled · lineage), from the ModelCap Index as of 17 Sept 2026, 07:03 UTC.

Llama 3.1 Nemotron 70B Instruct HF weight access is restricted license, from ModelCap classification of published repository metadata as of 17 Sept 2026, 07:03 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
17.9#185
Inherited · 31% support · score interval 1.0–34.8
No admitted evaluation publication timestamp yet
Market Gravity
7.8
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
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Reported evaluation leads (1)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.

Dataset / taskMetricValueRevisionProvenance
TIGER-Lab/MMLU-Pro
mmlu_pro
62.78
Unpinned
not published
Reported
Not used in launch estimate

ModelCap Index · Current board

Methodology
17.9
Modeled · lineage · finetune of meta-llama/llama-3.1-70b-instruct · finetune (100%)
Current board
#185
Public rank basis
Modeled · lineage (lineage)
Index support
31.0% · moderate
Index interval
1.0–34.8
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 · nvidia/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nvidia/Llama-3.1-Nemotron-70B-Instruct-HF@031d4042f36adc1a52cca51b331d25cbe3cf1022 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
17.9
Verified lineage
meta-llama/llama-3.1-70b-instruct · 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
17.9 ± 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 meta-llama/llama-3.1-70b-instruct · finetune
17.9 ± 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
6.8
  • · Catalogue surface
  • · First seen 2024-10-12

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
30.8
11.9–49.7 uncertainty interval
Excluded from rank
Confidence
68%
Training support
202 models · 116 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.1 MAE

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

Deployment readiness

Metadata index
45.9
partial · 51% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
67.5
Deployability
8.0
Evaluation provenance
0.0

Missing: 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
7.8
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%
6.8

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
12 Oct 2024

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
031d4042f36a
Parameters
70.6B
Architecture
LlamaForCausalLM
Model type
llama
Hugging Face downloads (30d)
13K
Downloads (all time)
1.9M
Likes
2K
Repository updated
13 Apr 2025, 04:12 UTC

Compare Llama 3.1 Nemotron 70B Instruct HF with

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Llama 3.1 Nemotron 70B Instruct HF: common questions

How does Llama 3.1 Nemotron 70B Instruct HF rank among AI models?

Llama 3.1 Nemotron 70B Instruct HF holds ModelCap Index position #185 of 223 ranked language models as of 17 September 2026, with an Index score of 17.9 (interval 1.0–34.8); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Llama 3.1 Nemotron 70B Instruct HF cost per 1M tokens?

No live API price is listed for Llama 3.1 Nemotron 70B Instruct HF in the current snapshot as of 17 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Llama 3.1 Nemotron 70B Instruct HF 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 nvidia/Llama-3.1-Nemotron-70B-Instruct-HF on Hugging Face.

Which benchmarks has Llama 3.1 Nemotron 70B Instruct HF been evaluated on?

Llama 3.1 Nemotron 70B Instruct HF'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 17 September 2026. The evidence panel names each source and its publication date.

How does Llama 3.1 Nemotron 70B Instruct HF compare with Arcee SuperNova v1?

Llama 3.1 Nemotron 70B Instruct HF ranks #185 (Index 17.9) and Arcee SuperNova v1 ranks #184 (Index 17.9) on the ModelCap Index as of 17 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Llama 3.1 Nemotron 70B Instruct HF released?

Llama 3.1 Nemotron 70B Instruct HF first appeared in the catalogue on 12 Oct 2024. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.