Instructions to use QuantFactory/Llama3.1-Allades-8B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/Llama3.1-Allades-8B-GGUF with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("QuantFactory/Llama3.1-Allades-8B-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use QuantFactory/Llama3.1-Allades-8B-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/Llama3.1-Allades-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/Llama3.1-Allades-8B-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/Llama3.1-Allades-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantFactory/Llama3.1-Allades-8B-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/Llama3.1-Allades-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/Llama3.1-Allades-8B-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/Llama3.1-Allades-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/Llama3.1-Allades-8B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/Llama3.1-Allades-8B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use QuantFactory/Llama3.1-Allades-8B-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/Llama3.1-Allades-8B-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use QuantFactory/Llama3.1-Allades-8B-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/Llama3.1-Allades-8B-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/Llama3.1-Allades-8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/Llama3.1-Allades-8B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Llama3.1-Allades-8B-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

QuantFactory/Llama3.1-Allades-8B-GGUF

This is quantized version of nbeerbower/Llama3.1-Allades-8B created using llama.cpp

Original Model Card

Llama3.1-Allades-8B

Allades finetunes abliterated Llama 3.1 with 5 datasets to improve creative writing, reasoning, and roleplay.

Datasets

Training

ORPO tuned for 1 epoch with 2x RTX 3090 (sponsored by Schneewolf Labs).

Data was prepared with Llama 3.1 Instruct.

Downloads last month: 121

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for QuantFactory/Llama3.1-Allades-8B-GGUF

Base model

meta-llama/Llama-3.1-8B

Finetuned

meta-llama/Llama-3.1-8B-Instruct

Finetuned

mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated

Quantized

(19)

this model

QuantFactory
/

Llama3.1-Allades-8B-GGUF