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

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored 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 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 serve -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 Desktop
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

Atomic Chat

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: 78

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

Inference Providers NEW

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Model tree for Stormtrooperaim/llama3.1-8b-Big-Alpaca-Uncensored

Base model

meta-llama/Llama-3.1-8B

Quantized

(331)

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