OSAIM
Open Source AI Models

Hermes 3 Llama 3.1 70B

Tool callingJSON modeLong context (>100K)

Larger Hermes 3 variant on top of Llama 3.1 70B. Widely used in agent-heavy workloads that need strong tool use combined with reliable function-calling schemas.

Parameters
70B
Context length
128K
Modality
text
Released
2024-08-15
Tokenizer
Llama 3

Memory & hardware

VRAM (fp16)
140 GB
VRAM (Q4)
42 GB
Recommended
1× H100 80GB (fp16) or RTX 4090 (Q4)
Quantizations
fp16, fp8, q8_0, q5_k_m, q4_k_m

License: Llama 3 Community License

SPDX
Commercial use
Yes
Modification
Yes
Redistribution
Yes

Benchmarks

MMLU
79.6
unconfirmed
HumanEval
78.8
unconfirmed
IFEval
75.9
unconfirmed
ArenaHard
62.4
unconfirmed
None of these scores has been confirmed against a source we can reach. How we verify.

Hosted inference pricing

USD per million tokens.

ProviderInputOutput
openrouterCheapest$0.70$0.70Visit ↗
Pricing last verified 2026-09-20. Providers update rates frequently; confirm before integrating.

Run it yourself

Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.

Run Hermes 3 Llama 3.1 70B locally
Ollama (easiest)
ollama run llama3.1:70b
Single-line install + run; uses the official Ollama registry tag for this family.
vLLM (production)
vllm serve NousResearch/Hermes-3-Llama-3.1-70B
High-throughput hosted inference; one command to expose an OpenAI-compatible HTTP server.
Transformers (Python)
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NousResearch/Hermes-3-Llama-3.1-70B")
model = AutoModelForCausalLM.from_pretrained(
    "NousResearch/Hermes-3-Llama-3.1-70B", device_map="auto", torch_dtype="auto"
)
Direct PyTorch usage. Pin a torch / cuda version that matches your GPU.
Hugging Face ID: NousResearch/Hermes-3-Llama-3.1-70B

Related models

Same family or similar size — useful when shopping around.

Llama 3.3 70B Instruct
70B

Meta's December 2024 refresh of Llama 3 70B that closes most of the gap with Llama 3.1 405B for chat workloads while remaining tractable on a single H100. Strong instruction following, robust tool-use behaviour, and a 128K context window make it the default choice for production chat at 70B scale. The 3.3 release was trained on a refreshed instruction-tuning data mix and benefits from Meta's most recent alignment work. It outperforms the much larger 3.1 405B on several reasoning benchmarks at a fraction of inference cost. The licence is the Llama 3 Community License, which permits commercial use unless your service exceeds 700M monthly active users. Good pick for: production chat at scale, RAG over long documents, agentic workflows where tool use matters, and any 70B-tier replacement for closed proprietary models.

Context
128K
License
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VRAM Q4
42 GB
Llama 3.1 70B Instruct
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The pre-3.3 70B workhorse. Same base architecture as Llama 3.3 70B but the earlier instruction-tuning recipe. Still widely referenced as a baseline in papers and provider docs, and still the default 70B on some hosted providers.

Context
128K
License
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VRAM Q4
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Llama 3.1 Nemotron 70B Instruct
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NVIDIA's RLHF-tuned Llama 3.1 70B. Tops several Arena-style human-preference leaderboards and shipped with NVIDIA's reward-model research. Inherits the Llama 3 community licence.

Context
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License
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Llama 2 70B Chat
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Flagship Llama 2 release. Fundamentally superseded by Llama 3 70B on every benchmark, but relevant historically: the model that made 'open-weights chat model at frontier scale' credible for enterprise workloads.

Context
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License
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DeepSeek R1 Distill Llama 70B
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R1 reasoning capabilities distilled into a Llama 3.3 70B base. The most accessible way to run R1-class reasoning locally — fits on a single H100 in fp16 or on a 4090 at Q4. Inherits Llama 3's community licence (commercial use under 700M MAU). Great pick for production reasoning workloads where the full R1 is too expensive to host but o1/R1-style quality is required.

Context
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License
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VRAM Q4
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Qwen2.5 72B Instruct
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The flagship Qwen 2.5 release. Competes with Llama 3.1 405B on many benchmarks at one-fifth the parameter count. Note the 72B specifically uses the Qwen License (commercial use up to 100M MAU) — the smaller Qwen2.5 sizes are Apache 2.0.

Context
128K
License
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VRAM Q4
43.2 GB