Instructions to use QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF",
	filename="NeuralLlama-3-8B-Instruct-abliterated.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/NeuralLlama-3-8B-Instruct-abliterated-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 QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-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 QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-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/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-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/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M

Ollama
How to use QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M
```

Unsloth Studio

How to use QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-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/NeuralLlama-3-8B-Instruct-abliterated-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/NeuralLlama-3-8B-Instruct-abliterated-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/NeuralLlama-3-8B-Instruct-abliterated-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/NeuralLlama-3-8B-Instruct-abliterated-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.NeuralLlama-3-8B-Instruct-abliterated-GGUF-Q4_K_M

List all available models

lemonade list

Llama-3-8B-Instruct-abliterated-dpomix-GGUF

This is quantized version of mlabonne/NeuralLlama-3-8B-Instruct-abliterated created using llama.cpp

Model Description

This model is an experimental DPO fine-tune of an abliterated Llama 3 8B Instruct model on the full mlabonne/orpo-dpo-mix-40k dataset. It improves Llama 3 8B Instruct's performance while being uncensored.

🔎 Applications

This is an uncensored model. You can use it for any application that doesn't require alignment, like role-playing.

Tested on LM Studio using the "Llama 3" preset.

🏆 Evaluation

Open LLM Leaderboard

This model improves the performance of the abliterated source model and recovers the MMLU that was lost in the abliteration process.

Nous

Model	Average	AGIEval	GPT4All	TruthfulQA	Bigbench
mlabonne/Llama-3-8B-Instruct-abliterated-dpomix 📄	52.26	41.6	69.95	54.22	43.26
meta-llama/Meta-Llama-3-8B-Instruct 📄	51.34	41.22	69.86	51.65	42.64
failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 📄	51.21	40.23	69.5	52.44	42.69
abacusai/Llama-3-Smaug-8B 📄	49.65	37.15	69.12	51.66	40.67
mlabonne/OrpoLlama-3-8B 📄	48.63	34.17	70.59	52.39	37.36
meta-llama/Meta-Llama-3-8B 📄	45.42	31.1	69.95	43.91	36.7

Downloads last month: 259

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/NeuralLlama-3-8B-Instruct-abliterated-GGUF

Base model

mlabonne/NeuralLlama-3-8B-Instruct-abliterated

Quantized

(9)

this model

QuantFactory
/

NeuralLlama-3-8B-Instruct-abliterated-GGUF