Models › Hermes-3 family

Hermes-3-Llama-3.1-70B

NousResearch Llama 3 Community License out 2 years ago

70.6B parameters, text in, text out, 128K tokens of context. 2 providers serve it from $0.70 per million input tokens.

Verified 2026-10-25 Rank #665 in LLMs · score 72.8 method v1 Sources 4 Downloads 30d 2.1k · #576 of 619 tracked

Can I run it?42GB at INT4Estimatefits a 64 GB Mac (unified memory)method
What does it cost?$0.70/1M incheapest of 1DeepInfrafp82026-10-25
Can I use it?Llama 3 Community License'Built with Llama' attribution; >700M MAU clause; naming rule for derivativeslicence file2026-10-24
Do people use it?2.1kdownloads, 30 days#576 of 619 we track · below the median+0 likes, downloads −2% this week144 likesHugging Face2026-10-24

Worth reading

Picked by rule from 4 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 146 HN pts

Hermes 3: The First Fine-Tuned Llama 3.1 405B Model

Nous Research launched Hermes 3, the first full-parameter fine-tune of Meta's Llama 3.1 405B model, trained on an 8-node Lambda 1-Click Cluster.

lambdalabs.com 2024-08-15 146 HN pts · 67 comments 530 words about the Hermes 3 family family
Latest · 2 years ago
nousresearch.com 2024-08-15 29 HN pts · 3 comments about the Hermes 3 family family

4 best of 4 tracked

The 2 picks above, plus these 2. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleNous Hermes 3 and exploiting underspecified evaluationsinterconnects.ai · 2024-08-16 · 2 HN pts
  2. DiscussionHermes 3twitter.com · 2024-08-15 · 9 HN pts

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#Cheapest 2In /1MOut /1MContextQuantSeen
1 DeepInfra $0.70 $0.70 128K fp8 Oct 25
2 Featherless — — — — Oct 25

All 2 providers →

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

Served by 2 API providers; 11 quantized builds for local use.

  • As a service2DeepInfra, Featherless
  • On own hardware11quantized builds
  • Built on313 fine-tunes · 3 adapters · 25 merges
  • In apps47Hugging Face Spaces

Top Spaces running it: Nymbo/overthink-1 ♥ 35 · wenbopan/overthink-1 ♥ 11 · ABABA-23/uncensored-chatbot ♥ 9 · hacktogone/uncensored-chat ♥ 6

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 64 GB Mac (unified memory) at INT4

About 42 GB at INT4, 85 GB at FP8, 169 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 42 GB of weights (estimate; KV cache and activations extra)INT442 GBFP8: about 85 GB of weights (estimate; KV cache and activations extra)FP885 GBBF16: about 169 GB of weights (estimate; KV cache and activations extra)BF16169 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 42 GB of weights (estimate; KV cache and activations extra)INT442 GBFP8: about 85 GB of weights (estimate; KV cache and activations extra)FP885 GBBF16: about 169 GB of weights (estimate; KV cache and activations extra)BF16169 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

4 dated articles and 15 repo commits so far

Teal is the weights (2024-07-29), amber triangles are 4 dated articles (each links to it), grey ticks are repo commits.

AugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-08: 1 repo commit2024-08-23: 2 repo commits2024-08-22: 1 repo commit2024-08-18: 1 repo commit2024-08-15: 2 repo commits2024-08-14: 1 repo commit2024-08-07: 2 repo commits2024-08-06: 1 repo commit2024-07-29: 4 repo commitsHermes 3: The First Fine-Tuned Llama 3.1 405B Model · 2024-08-15Hermes 3 – Nous Research · 2024-08-15Nous Hermes 3 and exploiting underspecified evaluations · 2024-08-16Hermes 3 · 2024-08-15Weights 2024-07-29 · 2024-07-29Weights 2024-07-29now · 2 providers
AugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-08: 1 repo commit2024-08-23: 2 repo commits2024-08-22: 1 repo commit2024-08-18: 1 repo commit2024-08-15: 2 repo commits2024-08-14: 1 repo commit2024-08-07: 2 repo commits2024-08-06: 1 repo commit2024-07-29: 4 repo commitsHermes 3: The First Fine-Tuned Llama 3.1 405B Model · 2024-08-15Hermes 3 – Nous Research · 2024-08-15Nous Hermes 3 and exploiting underspecified evaluations · 2024-08-16Hermes 3 · 2024-08-15Weights 2024-07-29 · 2024-07-29Weights 2024-07-29now · 2 providers

What people built on it

42 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

42 derivatives on the Hub, most of them merges

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

11 quantized (Hugging Face model tree)3 fine-tunes (Hugging Face model tree)25 merges (Hugging Face model tree)3 adapters (Hugging Face model tree)11 quantized3 fine-tunes25 merges3 adapters
11 quantized (Hugging Face model tree)3 fine-tunes (Hugging Face model tree)25 merges (Hugging Face model tree)3 adapters (Hugging Face model tree)11 quantized3 fine-tunes25 merges3 adapters

All variants →

Reference

Everything else, folded: the full tables, every source.

What the card says

1 cited sentence

Summary generated, cited

The model uses the ChatML prompt format and is released under the Llama 3 Community License.[1][2]

  1. “Hermes 3 uses ChatML as the prompt format”
  2. license

Generated 2026-10-07 15:13 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

3 use cases

What it is good at 3 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

21 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesLlamaForCausalLM
Model typellama
Dtypebfloat16
Params by dtypeBF16: 70,553,706,496
Size bandXL
MoEno
Context length131,072 (config.json max_position_embeddings)
Languagesen
PapersarXiv:2408.11857
LicenseLlama 3 Community License (llama3)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · LlamaForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · LlamaForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for Hermes-3-Llama-3.1-70B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)169 GB · Multi-GPU node (<640 GB)
FP8 (1 byte/param)85 GB · Multi-GPU node (<640 GB)
INT4 (0.5 bytes/param)42 GB · Single high-end GPU (<80 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Fine-tuned from meta-llama/Llama-3.1-70B Family: NousResearch/Hermes-3 42 derivatives on the Hub

Base model: meta-llama/Llama-3.1-70B

quantized: 11merge: 25finetune: 3adapter: 3

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
bartowski/Hermes-3-Llama-3.1-70B-GGUF quantized GGUF — — llama3 bartowski 11 231k
DevQuasar-4/Hermes-2-Theta-Llama-3-70B-GGUF quantized GGUF — — llama3 DevQuasar-4 0 47.7k
mbley/NousResearch-Hermes-3-Llama-3.1-70B-AWQ quantized AWQ 70.6B XL llama3.1 mbley 0 24.2k
legraphista/Hermes-3-Llama-3.1-70B-IMat-GGUF quantized GGUF — — llama3 legraphista 1 21.3k
mlabonne/Hermes-3-Llama-3.1-70B-lorablated merge — 70.6B XL — mlabonne 41 15.3k
mradermacher/Hermes-3-Llama-3.1-70B-i1-GGUF quantized GGUF — — llama3 mradermacher 2 11.7k
backyardai/Hermes-3-Llama-3.1-70B-GGUF quantized GGUF — — llama3 backyardai 2 6.8k
mradermacher/Hermes-3-Llama-3.1-70B-GGUF quantized GGUF — — llama3 mradermacher 3 6.2k
Guilherme34/Hermes-3-Llama-3.1-70B-Uncensored finetune — 70.6B XL llama3.1 Guilherme34 15 3.2k
tensorblock/Hermes-3-Llama-3.1-70B-GGUF quantized GGUF — — llama3 tensorblock 2 2.7k
gbueno86/Brinebreath-Llama-3.1-70B merge — 70.6B XL llama3.1 gbueno86 4 2.1k
KaraKaraWarehouse/L3.1-70b-Ginny merge — 70.6B XL — KaraKaraWarehouse 0 2k
featherless-ai-quants/NousResearch-Hermes-3-Llama-3.1-70B-GGUF quantized GGUF — — — featherless-ai-quants 0 1.6k
Saxo/Linkbricks-Horizon-AI-Korean-Advanced-70B quantized GGUF 70.6B XL apache-2.0 Saxo 1 1.2k
Nexesenex/Llama_3.x_70b_Doberman_V1 merge — 70.6B XL — Nexesenex 1 684
Nexesenex/Llama_3.x_70b_Evasion_V1 merge — 70.6B XL — Nexesenex 1 619
olaverse/MIST-1-70B merge — 70.6B XL llama3.1 olaverse 1 603
Saxo/Linkbricks-Horizon-AI-Japanese-Base-70B finetune — 70.6B XL apache-2.0 Saxo 3 403
isetnefret/Hermes-3-Llama-3.1-70B-mlx-2Bit quantized mlx 70.6B XL llama3 isetnefret 0 532
mlx-community/MIST-1-70B-MLX merge MLX 70.6B XL llama3.1 mlx-community 1 192
mergesloppa123123/Hermyale-stack-90B merge — 91.9B XL cc-by-nc-4.0 mergesloppa123123 1 173
Guilherme34/Hermes-3-Llama-3.1-70B-Uncensored-Lora adapter — — — llama3 Guilherme34 2 95
harkov000/Hermes-Euryale-70B merge — 70.6B XL — harkov000 0 172
NexesMess/Llama_3.x_70b_SmarTricks_v1.61 merge — 70.6B XL — NexesMess 0 138
Nexesenex/Llama_3.x_70b_Nemesis_V1 merge — 70.6B XL — Nexesenex 1 49
NexesMess/Llama_3.x_70b_SmarTricks_v1.55_Karcher merge — 70.6B XL — NexesMess 0 91
Cunt1257/Hermes-3-Llama-3.1-70B-Uncensored finetune — 70.6B XL llama3.1 Cunt1257 1 25
NexesMess/Llama_3.x_70b_SmarTricks_v1.66 merge — 70.6B XL — NexesMess 0 72
mergesloppa123123/Hanames-90B-L3.1 merge — 91.9B XL cc-by-nc-4.0 mergesloppa123123 0 69
Nexesenex/Llama_3.x_70b_SmarTricks_v1.55_MS merge — 70.6B XL — Nexesenex 0 64
Fireheart92/vire-protocol-70b adapter — 70.6B XL llama3.1 Fireheart92 0 62
NexesMess/Llama_3.x_70b_DoberTeaz_0.1 merge — 70.6B XL — NexesMess 0 59
NexesMess/Llama_3.x_70b_TesserTeaz_0.1 merge — 70.6B XL — NexesMess 0 48
tripplet-research/astro5.1 merge — 70.6B XL — tripplet-research 0 30
Guilherme34/Reasoner-Hermes3-70b-Lora adapter — — — llama3 Guilherme34 0 16
TareksGraveyard/Erudite-V1-Leashed-LLaMA-70B merge — 70.6B XL — TareksGraveyard 0 16
TareksLab/Sapphire-V2-LLaMa-70B merge — 70.6B XL — TareksLab 0 9
TareksGraveyard/Cerebro-V1-LLaMa-70B merge — 70.6B XL — TareksGraveyard 0 7
TareksGraveyard/MO-MODEL1-V1-LLaMa-70B merge — 70.6B XL — TareksGraveyard 0 6
TareksGraveyard/Braniac-V3-LLaMa-70B merge — 70.6B XL — TareksGraveyard 0 5

Repository changelog

15 commits

Repository changelog 15 commits

DateCommitSHA
2024-09-08 fixing tool_use jinja template bugs 1fc86da
2024-08-23 Update README.md 093242c
2024-08-23 Update README.md 1300b7f
2024-08-22 Update tokenizer_config.json 2cc1db8
2024-08-18 Update tokenizer_config.json 708a153
2024-08-15 Update README.md f335688
2024-08-15 Update README.md 946ad42
2024-08-14 Update README.md 8a2d72f
2024-08-07 Update README.md ac6a5c1
2024-08-07 Create README.md 81518f3
2024-08-06 Update tokenizer_config.json b80389d
2024-07-29 Update generation_config.json 8b728d1
2024-07-29 Update config.json 0bf30f2
2024-07-29 Upload folder using huggingface_hub 4d4094b
2024-07-29 initial commit d784926

All providers

2 providers · 2 endpoints

Where to run 2 providers · 2 endpoints

Hosted endpoints observed for Hermes-3-Llama-3.1-70B, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting. Cheapest observed input price: $0.70/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
DeepInfra
hf, openrouter
NousResearch/Hermes-3-Llama-3.1-70B 128K fp8 $0.70 $0.70 28 235 ms no live 2026-10-25
Featherless
hf
NousResearch/Hermes-3-Llama-3.1-70B — — — — — — — live 2026-10-25

Articles and coverage

4 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Official1

nousresearch.com2024-08-15officialabout the Hermes 3 familyHN 29 pts · 3 comments

Analysis2

lambdalabs.com2024-08-15HN front pageabout the Hermes 3 familyHN 146 pts · 67 comments530 words
Nous Research launched Hermes 3, the first full-parameter fine-tune of Meta's Llama 3.1 405B model, trained on an 8-node Lambda 1-Click Cluster. The model achieves a 50% reduction in VRAM and disk requirements through Neural Magic's FP8 quantization, enabling single-node operation. Hermes 3, which has been downloaded over 33 million times, is available for free via Lambda's Chat Completions API and Lambda Chat interface.written, reviewed, cited
interconnects.ai2024-08-16authorityabout the Hermes 3 familyHN 2 pts · 0 comments2,069 words
Nous Research released Hermes 3, fine-tuned Llama 3.1 models in 8B, 70B, and 405B sizes designed for role-playing and agentic function-calling. The models utilize a training mix where 69% of tokens are output tokens, yet internal evaluations show the 8B model trails Llama 3.1 Instruct on standard chat templates. This release highlights the difficulty of evaluating frontier models due to discrepancies between reported benchmarks and independent testing.written, reviewed, cited
  • Nous Hermes 3 training data consists primarily of synthetically generated responses.
  • The 8B model is likely the most popular version because better base models need less data for known tasks.
  • Using LoRA adapters for DPO training is expected to cause performance degradation relative to full fine-tuning.

Community1

twitter.com2024-08-15about the Hermes 3 familyHN 9 pts · 0 comments

Papers

1 paper

Papers 1

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

Similar models

3 models

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Sources

4 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:41 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25

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