Instructions to use Undi95/MLewd-L2-13B-v2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Undi95/MLewd-L2-13B-v2-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Undi95/MLewd-L2-13B-v2-GGUF",
	filename="MLewd-L2-13B-v2.q4_K_S.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Undi95/MLewd-L2-13B-v2-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S

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 Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S

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 Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S

Use Docker

docker model run hf.co/Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S

LM Studio
Jan
Ollama
How to use Undi95/MLewd-L2-13B-v2-GGUF with Ollama:
```
ollama run hf.co/Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S
```

Unsloth Studio new

How to use Undi95/MLewd-L2-13B-v2-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 Undi95/MLewd-L2-13B-v2-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 Undi95/MLewd-L2-13B-v2-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Undi95/MLewd-L2-13B-v2-GGUF to start chatting

Docker Model Runner
How to use Undi95/MLewd-L2-13B-v2-GGUF with Docker Model Runner:
```
docker model run hf.co/Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S
```

Lemonade

How to use Undi95/MLewd-L2-13B-v2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Undi95/MLewd-L2-13B-v2-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.MLewd-L2-13B-v2-GGUF-Q4_K_S

List all available models

lemonade list

THIS MODEL IS MADE FOR LEWD

SEXUAL, CRUDE AND KINKY CONTENT IN OUTPUT CAN AND WILL HAPPEN. YOU'RE WARNED

Description

This repo contains quantized files of MLewd-L2-13B-v2, very hot and lewd model based on ReMM (SLERP).

Models and loras used

Undi95/ReMM-S-Light (base/private)
Undi95/CreativeEngine
Sao10K/Stheno-Inverted-L2-13B
The-Face-Of-Goonery/Huginn-v3-13b
zattio770/120-Days-of-LORA-v2-13B
kingbri/pippa-sharegpt-13b-qlora

Prompt template: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

Special thanks to Sushi and Miko ♥

Downloads last month: 11

GGUF

Model size

13B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW

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