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LLMs ·

Hermes 4 70B

Parameters
71B
Architecture
Dense
Max context
128K tokens
License
llama3
Released
2025-08

How to run it

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

huggingface.co/unsloth/Hermes-4-70B-GGUF (opens in a new tab)

ollama run hf.co/unsloth/Hermes-4-70B-GGUF

Original weights · Hugging Face

Full-precision files from Nous Research, for fine-tuning, vLLM, Transformers.

huggingface.co/NousResearch/Hermes-4-70B (opens in a new tab)

No sign-in needed.

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

Quantization Quality Weights Total at 8K context Total at 32K context Download
Q2_K Low 28.2 GB 31.5 GB 39.6 GB GGUF (opens in a new tab)
Q3_K_M Low 34.6 GB 37.9 GB 45.9 GB GGUF (opens in a new tab)
Q4_K_M Good 43.0 GB 46.3 GB 54.4 GB GGUF (opens in a new tab)
Q5_K_M High 50.1 GB 53.4 GB 61.4 GB GGUF (opens in a new tab)
Q6_K High 57.9 GB 61.1 GB 69.2 GB GGUF · folder (opens in a new tab)
Q8_0 Very high 74.8 GB 78.1 GB 86.1 GB GGUF · folder (opens in a new tab)
F16 Full 141 GB 144 GB 152 GB GGUF · folder (opens in a new tab) Original weights (opens in a new tab)

Best hardware for Hermes 4 70B

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon PRO W7800 48GB (launch price $2,799) at Q3_K_M.

Grade · points Hardware Quant Memory Speed Fit
82 ptsGreat (A) · 82 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 13.2/15, Memory use 12.3/15 NVIDIA RTX PRO 6000 Blackwell Q4_K_M 51.1 GB / 96.0 GB 31.2 tok/s Runs well
78 ptsGreat (A) · 78 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 5.7/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q6_K 68.8 GB / 96.0 GB 5.7 tok/s Runs well
76 ptsGreat (A) · 76 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 3.9/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q6_K 68.8 GB / 96.0 GB 2.7 tok/s Runs well
76 ptsGreat (A) · 76 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 4.3/15, Memory use 14.1/15 NVIDIA GB10 (128 GB) Q6_K 70.4 GB / 115 GB 3.3 tok/s Runs well
74 ptsGreat (A) · 74 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 7.7/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q3_K_M 41.7 GB / 48.0 GB 10.6 tok/s Tight fit
74 ptsGreat (A) · 74 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 8.2/15, Memory use 9.3/15 Apple M2 Ultra (192 GB) Q4_K_M 57.8 GB / 144 GB 12.0 tok/s Runs well
73 ptsGreat (A) · 73 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 6.6/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q3_K_M 41.7 GB / 48.0 GB 7.7 tok/s Tight fit
72 ptsGreat (A) · 72 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 8.3/15, Memory use 7.4/15 Apple M3 Ultra (256 GB) Q4_K_M 61.7 GB / 192 GB 12.3 tok/s Runs well
69 ptsGood (B) · 69 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 8.3/15, Memory use 4.6/15 Apple M3 Ultra (512 GB) Q4_K_M 77.0 GB / 384 GB 12.3 tok/s Runs well
68 ptsGood (B) · 68 of 100 points: Model quality 23.3/45, Memory fit 24.0/25, Speed 6.1/15, Memory use 15.0/15 Apple M4 Pro (48 GB) Q2_K 34.4 GB / 36.0 GB 6.7 tok/s Tight fit

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.