How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BeaverAI/Behemoth-R1-123B-v2a-GGUF:
# Run inference directly in the terminal:
llama-cli -hf BeaverAI/Behemoth-R1-123B-v2a-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BeaverAI/Behemoth-R1-123B-v2a-GGUF:
# Run inference directly in the terminal:
llama-cli -hf BeaverAI/Behemoth-R1-123B-v2a-GGUF:
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf BeaverAI/Behemoth-R1-123B-v2a-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf BeaverAI/Behemoth-R1-123B-v2a-GGUF:
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf BeaverAI/Behemoth-R1-123B-v2a-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BeaverAI/Behemoth-R1-123B-v2a-GGUF:
Use Docker
docker model run hf.co/BeaverAI/Behemoth-R1-123B-v2a-GGUF:
Quick Links

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Check out the documentation for more information.

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Mistral (Non-Tekken), i.e., Mistral v3 + [SYSTEM_PROMPT]

Looks like <think> doesn't need to be prefilled. You can opt out of reasoning - it's just as good, maybe even better.

No toxic data so you may want to prefill / guide reasoning when dealing with heavy themes (unless your prompt is sufficiently instructed/gaslit to be evil).

Alternatively, since <think> is not a special token, you can influence reasoning by phrasing it like <evil_think>, <creative_think>, or <spicy_think>, etc. It's smart enough to close it properly.

Yes, this is how much I want to avoid tuning MoEs.

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Model size
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Architecture
llama
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