NR
Nous Research
Language model · United States ·Aug 2024

Hermes 3 70B

Language Open (Restricted)
70B
Parameters
10
Benchmarks

About Hermes 3 70B

Hermes 3 70B is an AI model developed by Nous Research, in the language category, released in 2024, made available as an open-weights model with 70B params.

On this page you'll find Hermes 3 70B's full specifications, including 10 benchmark results. Review provider pricing and benchmark scores below, or compare Hermes 3 70B head-to-head with other language models.

Links

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Sized to what Hermes 3 70B actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Hermes 3 70B benchmark scores
Benchmark Category Score Variant
HumanEval code 89.6% pass@10-cited-tulu3
HumanEval+ code 85.9% pass@10-cited-tulu3
AlpacaEval 2 general 28.4% lc-win-cited-tulu3
IFEval general 76% cited-tulu3
MMLU general 80.4% cited-tulu3
GSM8K math 90% cited-tulu3
MATH math 41.9% cited-tulu3
BIG-Bench Hard reasoning 82.1% cited-tulu3
DROP reasoning 73.2% cited-tulu3
TruthfulQA safety 66.5% cited-tulu3

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Frequently asked questions

What is Hermes 3 70B?

Hermes 3 70B is an AI model developed by Nous Research, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Hermes 3 70B?

Hermes 3 70B was developed by Nous Research and released in 2024.

Is Hermes 3 70B open source or proprietary?

Hermes 3 70B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does Hermes 3 70B cost?

Pricing for Hermes 3 70B depends on the provider. See the providers table on this page for the latest API rates.

How does Hermes 3 70B perform on benchmarks?

Hermes 3 70B is benchmarked across 10 evaluations on GenAIList, including HumanEval (89.6%). See the full benchmark table below and compare it with other models.

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