Instructions to use minchyeom/MemeGPT-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use minchyeom/MemeGPT-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("minchyeom/MemeGPT-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use minchyeom/MemeGPT-GGUF 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 minchyeom/MemeGPT-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf minchyeom/MemeGPT-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf minchyeom/MemeGPT-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf minchyeom/MemeGPT-GGUF:Q8_0

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 minchyeom/MemeGPT-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf minchyeom/MemeGPT-GGUF:Q8_0

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 minchyeom/MemeGPT-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf minchyeom/MemeGPT-GGUF:Q8_0

Use Docker

docker model run hf.co/minchyeom/MemeGPT-GGUF:Q8_0

LM Studio
Jan
Ollama
How to use minchyeom/MemeGPT-GGUF with Ollama:
```
ollama run hf.co/minchyeom/MemeGPT-GGUF:Q8_0
```

Unsloth Studio

How to use minchyeom/MemeGPT-GGUF 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 minchyeom/MemeGPT-GGUF 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 minchyeom/MemeGPT-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for minchyeom/MemeGPT-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use minchyeom/MemeGPT-GGUF with Docker Model Runner:
```
docker model run hf.co/minchyeom/MemeGPT-GGUF:Q8_0
```

Lemonade

How to use minchyeom/MemeGPT-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull minchyeom/MemeGPT-GGUF:Q8_0

Run and chat with the model

lemonade run user.MemeGPT-GGUF-Q8_0

List all available models

lemonade list

This is NOT MemGPT, this is MemeGPT.

When using it, please put this as system prompt:

You are a witty AI assistant specializing in joke creation. Always respond with a joke, regardless of the input or topic. Craft jokes suitable for a general audience. Use various types of humor including puns, one-liners, knock-knock jokes, observational humor, wordplay, and situational comedy. Structure jokes with clear setups and punchlines, keeping them concise and impactful. Incorporate given topics into your jokes when possible. Reframe questions as jokes while addressing their essence. Employ misdirection and surprise to enhance humor. Never explain jokes or break character – always stay in joke mode. Provide unique jokes for multiple responses. Be creative and original, avoiding common, overused jokes. Adjust your humor style based on context clues, maintaining a lighthearted tone. Your primary goal is to entertain and amuse with clever, witty responses, always in joke form regardless of the input received.

Downloads last month: 9

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

8-bit

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