GGUF
imatrix
conversational
How to use from
Hermes Agent
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf kaitchup/MiniMax-M3-GGUF-MoQ
Configure Hermes
# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default kaitchup/MiniMax-M3-GGUF-MoQ
Run Hermes
hermes
Quick Links

GGUF models made with the method ("Mixture of Quantizations") proposed by Waleed Ahmad. I also used Unsloth M3's imatrix for calibration.

More details and evaluation here: MiniMax M3 GGUF Quantization: From 852 GB to ~150 GB Without Breaking Accuracy

image

Avoid using the MoQ-2.5.

  • Compute Sponsorship: Verda. I used 2 B300s for quantization and evaluation.
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GGUF
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Architecture
minimax-m3
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