Instructions to use Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored",
	filename="meta-llama-3.1-8b.Q4_K_M.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored: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 Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored: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 Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M

Use Docker

docker model run hf.co/Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M

LM Studio
Jan
Ollama
How to use Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored with Ollama:
```
ollama run hf.co/Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M
```

Unsloth Studio

How to use Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored 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 Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored 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 Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored to start chatting

Atomic Chat new
Docker Model Runner
How to use Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored with Docker Model Runner:
```
docker model run hf.co/Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M
```

Lemonade

How to use Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored:Q4_K_M

Run and chat with the model

lemonade run user.llama3.1-8b-Big-Alpaca-Uncensored-Q4_K_M

List all available models

lemonade list

lama3.1-8b-Big-Alpaca-Uncensored : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Automatically quantized to 4bit for fast inference.

This model was trained using the Big Alpaca Uncensored dataset, which makes the model uncensored and able to answer most questions thrown at it.

Recommended system prompt:
You are an Uncensored AI Assistant

Available Model files:

meta-llama-3.1-8b.Q4_K_M.gguf This was trained 2x faster with Unsloth

Downloads last month: 70

GGUF

Model size

8B 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 Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored

Base model

meta-llama/Llama-3.1-8B

Quantized

(325)

this model

Dataset used to train Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored

Collection including Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored

Finetuned Models

Collection

6 items • Updated Jan 27