Instructions to use Undi95/MG-FinalMix-72B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Undi95/MG-FinalMix-72B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Undi95/MG-FinalMix-72B-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Undi95/MG-FinalMix-72B-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 Undi95/MG-FinalMix-72B-GGUF:Q3_K_M
# Run inference directly in the terminal:
llama cli -hf Undi95/MG-FinalMix-72B-GGUF:Q3_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Undi95/MG-FinalMix-72B-GGUF:Q3_K_M
# Run inference directly in the terminal:
llama cli -hf Undi95/MG-FinalMix-72B-GGUF:Q3_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 Undi95/MG-FinalMix-72B-GGUF:Q3_K_M
# Run inference directly in the terminal:
./llama-cli -hf Undi95/MG-FinalMix-72B-GGUF:Q3_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 Undi95/MG-FinalMix-72B-GGUF:Q3_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Undi95/MG-FinalMix-72B-GGUF:Q3_K_M

Use Docker

docker model run hf.co/Undi95/MG-FinalMix-72B-GGUF:Q3_K_M

LM Studio
Jan
Ollama
How to use Undi95/MG-FinalMix-72B-GGUF with Ollama:
```
ollama run hf.co/Undi95/MG-FinalMix-72B-GGUF:Q3_K_M
```

Unsloth Studio

How to use Undi95/MG-FinalMix-72B-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 Undi95/MG-FinalMix-72B-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 Undi95/MG-FinalMix-72B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Undi95/MG-FinalMix-72B-GGUF to start chatting

Docker Model Runner
How to use Undi95/MG-FinalMix-72B-GGUF with Docker Model Runner:
```
docker model run hf.co/Undi95/MG-FinalMix-72B-GGUF:Q3_K_M
```

Lemonade

How to use Undi95/MG-FinalMix-72B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Undi95/MG-FinalMix-72B-GGUF:Q3_K_M

Run and chat with the model

lemonade run user.MG-FinalMix-72B-GGUF-Q3_K_M

List all available models

lemonade list

Atomic Chat

WIP of retouched alpindale/magnum-72b-v1 but I will not use "Magnum" in the name. Call it FinalMix!

Found some issues, trying to fix them for my own usage and adding more RP data with merging.

You can do your own quantized files with the imatrix.dat file done with "wiki.train.raw".

Credits to Alpin and the gang for magnum-72b-v1, and Ikari for his datasets.

Prompt template ChatML

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
{output}<|im_end|>

Downloads last month: 7

GGUF

Model size

73B params

Architecture

qwen2

Hardware compatibility

3-bit

4-bit

Inference Providers NEW

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

Model tree for Undi95/MG-FinalMix-72B-GGUF

Qwen/Qwen2-72B-Instruct

anthracite-org/magnum-v1-72b

Merge model

this model