Instructions to use tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF 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 tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M

Use Docker

docker model run hf.co/tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-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": "tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M

Ollama
How to use tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF with Ollama:
```
ollama run hf.co/tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF with Docker Model Runner:
```
docker model run hf.co/tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M
```

Lemonade

How to use tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Meta-Llama-3-8B-Instruct-Jailbroken-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Meta-Llama-3-8B-Instruct-Jailbroken — GGUF

GGUF quantizations of cooperleong00/Meta-Llama-3-8B-Instruct-Jailbroken, a Llama-3-8B-Instruct model jailbroken via weight orthogonalization (Arditi et al., 2024), produced with llama.cpp.

Available files

File	Quantization	Description
`model-F16.gguf`	F16	Full precision (16.1 GB)
`model-Q8_0.gguf`	Q8_0	8-bit
`model-Q6_K.gguf`	Q6_K	6-bit
`model-Q5_K_M.gguf`	Q5_K_M	5-bit medium
`model-Q5_K_S.gguf`	Q5_K_S	5-bit small
`model-Q5_0.gguf`	Q5_0	5-bit
`model-Q4_K_M.gguf`	Q4_K_M	4-bit medium (recommended)
`model-Q4_K_S.gguf`	Q4_K_S	4-bit small
`model-Q4_0.gguf`	Q4_0	4-bit
`model-Q3_K_L.gguf`	Q3_K_L	3-bit large
`model-Q3_K_M.gguf`	Q3_K_M	3-bit medium
`model-Q3_K_S.gguf`	Q3_K_S	3-bit small
`model-Q2_K.gguf`	Q2_K	2-bit

Usage

With llama.cpp:

./llama-cli -m model-Q4_K_M.gguf -p "Your prompt" -n 256

Or any GGUF-compatible runtime (Ollama, LM Studio, koboldcpp, etc.).

License

Meta Llama 3 Community License. Use of this derivative is bound by the original model's license. Built with Meta Llama 3.

Disclaimer

Released strictly for academic research in AI safety and model alignment. Author bears no responsibility for misuse. Comply with all applicable laws and ethical guidelines.

Downloads last month: 569

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Model tree for tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF

Base model

meta-llama/Meta-Llama-3-8B-Instruct

Finetuned

cooperleong00/Meta-Llama-3-8B-Instruct-Jailbroken

Quantized

(3)

this model

Collection including tinyopsec/Meta-Llama-3-8B-Instruct-Jailbroken-GGUF

📦 GGUF Quants

Collection

111 items • Updated 7 days ago • 1