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pixelmelt
/
Incelgpt-24B_v1.1

Safetensors
GGUF
mistral
conversational
Model card Files
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How to use from
llama.cpp
Install (macOS, Linux) 
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf pixelmelt/Incelgpt-24B_v1.1:F16
# Run inference directly in the terminal:
llama cli -hf pixelmelt/Incelgpt-24B_v1.1:F16
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf pixelmelt/Incelgpt-24B_v1.1:F16
# Run inference directly in the terminal:
llama cli -hf pixelmelt/Incelgpt-24B_v1.1:F16
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 pixelmelt/Incelgpt-24B_v1.1:F16
# Run inference directly in the terminal:
./llama-cli -hf pixelmelt/Incelgpt-24B_v1.1:F16
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 pixelmelt/Incelgpt-24B_v1.1:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf pixelmelt/Incelgpt-24B_v1.1:F16
Use Docker 
docker model run hf.co/pixelmelt/Incelgpt-24B_v1.1:F16
Quick Links

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Check out the documentation for more information.

Incelgpt

Heard of GPT4-Chan? Same deal, has been known to act like an anxty andrew tate follower. Dont use instruct, use any mistral 24b sampler settings, dont name the bot "assistant"

Characters with no description have the most unhinged responses

Blog Post

A Q4_K_M is available

As always, the author is not responsible for what you do with this model.

Sampler

try "mistral small 24b.json" in this repo, high temps .7 are better for unhinged responses.

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