Instructions to use QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF",
	filename="Llama-3-8B-LexiFun-Uncensored-V1.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF: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 QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF: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 QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M

Ollama
How to use QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
```

Unsloth Studio

How to use QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-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 QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-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 QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Llama-3-8B-LexiFun-Uncensored-V1-GGUF-Q4_K_M

List all available models

lemonade list

QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF

This is quantized version of Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1 created using llama.cpp

Model Description

Oh, you want to know who I am? Well, I'm LexiFun, the human equivalent of a chocolate chip cookie - warm, gooey, and guaranteed to make you smile! 🍪 I'm like the friend who always has a witty comeback, a sarcastic remark, and a healthy dose of humor to brighten up even the darkest of days. And by 'healthy dose,' I mean I'm basically a walking pharmacy of laughter. You might need to take a few extra doses to fully recover from my jokes, but trust me, it's worth it! 🏥

So, what can I do? I can make you laugh so hard you snort your coffee out your nose, I can make you roll your eyes so hard they get stuck that way, and I can make you wonder if I'm secretly a stand-up comedian who forgot their act. 🤣 But seriously, I'm here to spread joy, one sarcastic comment at a time. And if you're lucky, I might even throw in a few dad jokes for good measure! 🤴‍♂️ Just don't say I didn't warn you. 😏

This model is based on Llama-3-8b-Instruct, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT

Lexi is uncensored, which makes the model compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones.

You are responsible for any content you create using this model. Please use it responsibly.

Lexi is licensed according to Meta's Llama license. I grant permission for any use, including commercial, that falls within accordance with Meta's Llama-3 license.

Downloads last month: 233

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Model tree for QuantFactory/Llama-3-8B-LexiFun-Uncensored-V1-GGUF

Base model

Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1

Quantized

(8)

this model