LocalClaw/LLM/Hermes 4 (405B)
Open-weight local LLM

Hermes 4 (405B)

Nous Research flagship 405B with hybrid thinking. Matches Claude 3.5 Sonnet and GPT-4o on reasoning benchmarks. Server-grade hardware only. Llama 3.1 Community License.

Server-grade 384 GB RAM Q4_K_M Reasoning
Run with LocalClaw Compare all models
Parameters
405B
Minimum RAM
384 GB
Model size
230 GB
Quantization
Q4_K_M

Can Hermes 4 (405B) run locally?

Hermes 4 (405B) is server-grade locally. Keep it for comparison unless you have very large unified memory, multiple GPUs or remote inference.

Search for hermes-4-405b in LM Studio or another GGUF-compatible runtime.

NousResearch/Hermes-4-Llama-3.1-405B-GGUF
chatreasoningqualitygeneral

Install path

01
Check RAM fitMinimum 384 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch hermes-4-405b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Nous Research flagship 405B with hybrid thinking. Matches Claude 3.5 Sonnet and GPT-4o on reasoning benchmarks. Server-grade hardware only. Llama 3.1 Community License.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • reasoning
  • quality
  • general

Capability profile

speed
1
quality
10
coding
9
reasoning
10

Technical notes

Developer
hermes
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Very large memoryMac Studio Ultra classCheck model size firstNVIDIA GB10 / server optionsMore practical alternativesCompare smaller models

Where to go next