Instructions to use Undi95/MG-FinalMix-72B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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", dtype="auto") - llama-cpp-python
How to use Undi95/MG-FinalMix-72B-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Undi95/MG-FinalMix-72B-GGUF", filename="MG-FinalMix-72B-q3_k_m.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Undi95/MG-FinalMix-72B-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # 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
Install from WinGet (Windows)
winget install llama.cpp # 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
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 new
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
llm.create_chat_completion(
messages = "No input example has been defined for this model task."
)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|>
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# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Undi95/MG-FinalMix-72B-GGUF", filename="", )