Instructions to use NotClavilux/mistral-7b-discord with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NotClavilux/mistral-7b-discord with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="NotClavilux/mistral-7b-discord",
	filename="unsloth.Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

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

Atomic Chat new
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

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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.

Downloads last month: -

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for NotClavilux/mistral-7b-discord

Base model

mistralai/Mistral-7B-v0.3

Finetuned

mistralai/Mistral-7B-Instruct-v0.3

Quantized

(267)

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