What GPU do I need to run NousResearch/Hermes-3-Llama-3.1-70B?
70.6B parameters, published in BF16. View on Hugging Face Full specs & deploy guide
Set up Hermes-3-Llama-3.1-70BHermes-3-Llama-3.1-70B is published by NousResearch on Hugging Face, with 3,129 downloads and 138 likes to date. It's a LlamaForCausalLM model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 131.4 GB | 157.7 GB | RTX 3090 | 7 | $1.03/hr |
| FP8 (quantized) | 65.7 GB | 78.8 GB | RTX PRO 6000 | 1 | $1.64/hr |
| cheaper alt. | RTX 4000 SFF Ada | 4 | $0.720/hr | ||
| INT4 (quantized) | 32.9 GB | 39.4 GB | RTX A6000 | 1 | $0.330/hr |
| cheaper alt. | RTX 3090 | 2 | $0.294/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run Hermes-3-Llama-3.1-70B at its published (BF16) precision: 7× RTX 3090, at $0.147/hr per GPU ($1.03/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Hermes-3-Llama-3.1-70B: common questions
Can Hermes-3-Llama-3.1-70B run on a single GPU?
No. At BF16 it needs 157.7 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest capable card in the live feed is a 24.0 GB RTX 3090, and it takes 7 of them.
How many GPUs do I need to run Hermes-3-Llama-3.1-70B?
7 at BF16. It needs 157.7 GB of VRAM and the cheapest capable live offer is a 24.0 GB RTX 3090, so 7 of them come to $1.03/hr in total.
Does quantizing Hermes-3-Llama-3.1-70B lower the GPU bill?
Yes. At BF16 the cheapest live fit is 7 RTX 3090 cards at $1.03/hr. At INT4 (quantized) it drops to one RTX A6000 at $0.330/hr, provided a quantized checkpoint exists for it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More NousResearch models
- Hermes-3-Llama-3.1-8B (8.0B, BF16)
- Meta-Llama-3.1-8B-Instruct (8.0B, BF16)
- Llama-2-7b-hf (6.7B, F16)
- Meta-Llama-3-8B-Instruct (8.0B, BF16)
- Meta-Llama-3-8B (8.0B, BF16)
- Llama-3.2-1B (1.2B, BF16)
