How to use from
llama.cpp
# Gated model: Login with a HF token with gated access permission
hf auth login
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NotClavilux/mistral-7b-discord:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NotClavilux/mistral-7b-discord:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NotClavilux/mistral-7b-discord:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NotClavilux/mistral-7b-discord:Q4_K_M
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 NotClavilux/mistral-7b-discord:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf NotClavilux/mistral-7b-discord:Q4_K_M
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 NotClavilux/mistral-7b-discord:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NotClavilux/mistral-7b-discord:Q4_K_M
Use Docker
docker model run hf.co/NotClavilux/mistral-7b-discord:Q4_K_M
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Mistral-7B-Discord

What is this

A model finetuned on over 236k discord messages over the course of 869 days.

Goals

This model was trained to capture the tone, quirks, and conversational style of a long-term discord exchange between close friends. It aims to replicate casual, often chaotic, sometimes deep, and context-aware banter including inside jokes, emotional shifts, and rapid topic switching.

Use cases

  • Casual chatbots with personality
  • Character-driven AI

Limitations

  • Highly specialized: This is a small (7B) model fine-tuned on niche data. It won't generalize well and sometimes says dumb stuff.
  • Informal: Expect slang, memes, inconsistent grammar, and emotionally charged responses.

How to use

huggingface-cli login

Then:

ollama run hf.co/NotClavilux/mistral-7b-discord:Q4_K_M

Or just use llama.cpp or whatever you want.

Credits

Trained on data collected with consent. Project by NotClavilux.

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Model size
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Architecture
llama
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