Models › Hermes-3 family

Hermes-3-Llama-3.1-405B

NousResearch Llama 3 Community License out 2 years ago

406B parameters, text in, text out, 128K tokens of context. 1 provider serves it from $1.00 per million input tokens.

Verified 2026-10-25 Rank #619 in LLMs · score 73.7 method v1 Sources 4 Downloads 30d 1.4k · #587 of 619 tracked

Can I run it?244GB at INT4Estimateneeds a multi-GPU nodemethod
What does it cost?$1.00/1M incheapest of 1DeepInfrafp82026-10-24
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?1.4kdownloads, 30 days#587 of 619 we track · below the median+2 likes, downloads +21% this week276 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 live rowIn /1MOut /1MContextQuantSeen
1 DeepInfra $1.00 $1.00 128K fp8 Oct 24

All 1 provider →

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 1 API provider; 3 quantized builds for local use.

  • As a service1DeepInfra
  • On own hardware3quantized builds
  • Built on85 fine-tunes · 2 adapters · 1 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: Nymbo/overthink-1 ♥ 35 · algorithmicsuperintelligence/OptiLLM ♥ 27 · wenbopan/overthink-1 ♥ 11 · patched-codes/analyze-gh-repo ♥ 2

Will it fit?

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

Needs an 8×80 GB node even at INT4

About 244 GB at INT4, 487 GB at FP8, 974 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 244 GB of weights (estimate; KV cache and activations extra)INT4244 GBFP8: about 487 GB of weights (estimate; KV cache and activations extra)FP8487 GBBF16: about 974 GB of weights (estimate; KV cache and activations extra)BF16974 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 244 GB of weights (estimate; KV cache and activations extra)INT4244 GBFP8: about 487 GB of weights (estimate; KV cache and activations extra)FP8487 GBBF16: about 974 GB of weights (estimate; KV cache and activations extra)BF16974 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.

Most coverage came in the first two weeks

Teal is the weights (2024-08-13), amber triangles are 4 dated articles (each links to it), grey ticks are repo commits.

SepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-10-08: 1 repo commit2024-09-08: 1 repo commit2024-08-23: 2 repo commits2024-08-22: 1 repo commit2024-08-18: 1 repo commit2024-08-15: 7 repo commits2024-08-14: 5 repo commits2024-08-13: 5 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 2024-08-13 · 2024-08-13Weights 2024-08-13now · 1 provider
SepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-10-08: 1 repo commit2024-09-08: 1 repo commit2024-08-23: 2 repo commits2024-08-22: 1 repo commit2024-08-18: 1 repo commit2024-08-15: 7 repo commits2024-08-14: 5 repo commits2024-08-13: 5 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 2024-08-13 · 2024-08-13Weights 2024-08-13now · 1 provider

What people built on it

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

11 derivatives on the Hub, led by 5 fine-tunes

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

3 quantized (Hugging Face model tree)5 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)2 adapters (Hugging Face model tree)3 quantized5 fine-tunes1 merge2 adapters
3 quantized (Hugging Face model tree)5 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)2 adapters (Hugging Face model tree)3 quantized5 fine-tunes1 merge2 adapters

All variants →

Reference

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

What the card says

2 cited sentences

Summary generated, cited

Hermes 3 is a 406B parameter text-generation finetune of the Llama-3.1 405B foundation model.[1][2] Developed by NousResearch, this model uses the ChatML prompt format and is released under the Llama 3 Community License.[3][4][5]

  1. parameters human
  2. “full parameter finetune of the Llama-3.1 405B foundation …”
  3. organization
  4. “Hermes 3 uses ChatML as the prompt format”
  5. license

Generated 2026-10-07 15:14 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: 405,853,388,800
Size bandXXL
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-3.1-405B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)974 GB · Cluster (≥640 GB)
FP8 (1 byte/param)487 GB · Multi-GPU node (<640 GB)
INT4 (0.5 bytes/param)244 GB · Multi-GPU node (<640 GB)

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

All variants

11 variants

Lineage

Fine-tuned from meta-llama/Llama-3.1-405B Family: NousResearch/Hermes-3 11 derivatives on the Hub

Base model: meta-llama/Llama-3.1-405B

quantized: 3adapter: 2finetune: 5merge: 1

Top variants (11 shown, ranked by downloads)

Relation
Quant
11 rows
Variant Relation Quant Params Band License Author Likes Downloads
bartowski/Hermes-3-Llama-3.1-405B-GGUF quantized GGUF — — llama3 bartowski 14 47.4k
DevQuasar/NousResearch.Hermes-3-Llama-3.1-405B-GGUF quantized GGUF — — — DevQuasar 3 16.5k
nicoboss/Hermes-3-Llama-3.1-405B-Uncensored adapter — 406B XXL llama3.1 nicoboss 46 0
mrtoots/Hermes-3-Llama-3.1-405B-mlx-2Bit quantized mlx 406B XXL llama3 mrtoots 0 744
mradermacher/Hermes-3-Llama-3.1-405B-GGUF finetune GGUF — — llama3 mradermacher 2 0
mradermacher/Hermes-3-Llama-3.1-405B-i1-GGUF finetune GGUF — — llama3 mradermacher 2 0
Abigail45/Forest merge — — — apache-2.0 Abigail45 1 0
SipsaLabs/hermes-3-llama-3.1-405b-uc-v3-bpw5 finetune — — — other SipsaLabs 1 0
ruinedbythorns/SabrinaQV2 finetune — — — mit ruinedbythorns 1 0
nicoboss/Hermes-3-Llama-3.1-405B-Uncensored-Lora adapter — — — llama3.1 nicoboss 0 15
SipsaLabs/hermes-3-llama-3.1-405b-streaming-bpw5 finetune — — — other SipsaLabs 0 0

Repository changelog

23 commits

Repository changelog 23 commits

DateCommitSHA
2024-10-08 Add proper library name (#3) b9fe8ed
2024-09-08 fixing tool_use jinja template bugs e856e74
2024-08-23 Update README.md 47f8572
2024-08-23 Update README.md d3ce169
2024-08-22 Update tokenizer_config.json 0df25cb
2024-08-18 Update tokenizer_config.json 69f35ae
2024-08-15 Update README.md f567b06
2024-08-15 Update README.md e279392
2024-08-15 Update README.md 5017d81
2024-08-15 Update README.md 831b09a
2024-08-15 Update README.md 2c4c029
2024-08-15 Update README.md 503828b
2024-08-15 Update README.md e67e35c
2024-08-14 Update README.md 827c6a0
2024-08-14 Create README.md a044473
2024-08-14 Update tokenizer_config.json 500ce36
2024-08-14 Update config.json 2493e45
2024-08-14 Update generation_config.json d76be33
2024-08-13 Upload folder using huggingface_hub 96f8d55
2024-08-13 Update generation_config.json 660d6f9
2024-08-13 Update config.json ff42a2f
2024-08-13 Upload folder using huggingface_hub 8778f05
2024-08-13 initial commit 08131d0

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Hermes-3-Llama-3.1-405B, 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: $1.00/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
DeepInfra
openrouter
nousresearch/hermes-3-llama-3.1-405b 128K fp8 $1.00 $1.00 — — — live 2026-10-24

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

Similar models

  • Llama-3.1-405B · 406B
    same size band (XXL), same task (text-generation)
  • Llama-3.1-405B-Instruct · 406B
    same size band (XXL), same task (text-generation)
  • GLM-4.7 · 358B
    same size band (XXL), same task (text-generation), more providers, permissive license

Sources

4 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:42 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:14 UTC · Last verified 2026-10-25

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