Instructions to use NotClavilux/mistral-7b-discord with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use NotClavilux/mistral-7b-discord with 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 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
- LM Studio
- Jan
- Ollama
How to use NotClavilux/mistral-7b-discord with Ollama:
ollama run hf.co/NotClavilux/mistral-7b-discord:Q4_K_M
- Unsloth Studio
How to use NotClavilux/mistral-7b-discord with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for NotClavilux/mistral-7b-discord to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for NotClavilux/mistral-7b-discord to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for NotClavilux/mistral-7b-discord to start chatting
- Docker Model Runner
How to use NotClavilux/mistral-7b-discord with Docker Model Runner:
docker model run hf.co/NotClavilux/mistral-7b-discord:Q4_K_M
- Lemonade
How to use NotClavilux/mistral-7b-discord with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NotClavilux/mistral-7b-discord:Q4_K_M
Run and chat with the model
lemonade run user.mistral-7b-discord-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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_MInstall 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_MUse 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_MBuild 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_MUse Docker
docker model run hf.co/NotClavilux/mistral-7b-discord:Q4_K_MMistral-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 tree for NotClavilux/mistral-7b-discord
Base model
mistralai/Mistral-7B-v0.3
# Gated model: Login with a HF token with gated access permission hf auth login