Instructions to use Orenguteng/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 Orenguteng/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="Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1-GGUF",
	filename="LexiFun-Llama-3-8B-Uncensored-V1_F16.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 Orenguteng/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 Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Orenguteng/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 Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Orenguteng/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 Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Orenguteng/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 Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Orenguteng/Llama-3-8B-LexiFun-Uncensored-V1-GGUF:Q4_K_M

Use Docker

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

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

Unsloth Studio

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

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

Lemonade

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

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Orenguteng/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

Note: This model was trained before Llama bug fixes and template issues was fixed, as well as llama.cpp GGUF issues historically. The outputs may or may not be what you expect but I choose to leave it hosted.

This is GGUF version of https://huggingface.co/Orenguteng/LexiFun-Llama-3-8B-Uncensored-V1

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: 274

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

16-bit

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