Instructions to use Gurubot/mellow-mate-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Gurubot/mellow-mate-8b with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Gurubot/mellow-mate-8b", filename="mellow-mate-8b.Q4_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 Gurubot/mellow-mate-8b with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Gurubot/mellow-mate-8b:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Gurubot/mellow-mate-8b:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Gurubot/mellow-mate-8b:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Gurubot/mellow-mate-8b: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 Gurubot/mellow-mate-8b:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Gurubot/mellow-mate-8b: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 Gurubot/mellow-mate-8b:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Gurubot/mellow-mate-8b:Q4_K_M
Use Docker
docker model run hf.co/Gurubot/mellow-mate-8b:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Gurubot/mellow-mate-8b with Ollama:
ollama run hf.co/Gurubot/mellow-mate-8b:Q4_K_M
- Unsloth Studio new
How to use Gurubot/mellow-mate-8b 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 Gurubot/mellow-mate-8b 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 Gurubot/mellow-mate-8b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Gurubot/mellow-mate-8b to start chatting
- Docker Model Runner
How to use Gurubot/mellow-mate-8b with Docker Model Runner:
docker model run hf.co/Gurubot/mellow-mate-8b:Q4_K_M
- Lemonade
How to use Gurubot/mellow-mate-8b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Gurubot/mellow-mate-8b:Q4_K_M
Run and chat with the model
lemonade run user.mellow-mate-8b-Q4_K_M
List all available models
lemonade list
llm.create_chat_completion(
messages = "No input example has been defined for this model task."
)Designed to mimic a friendly instant message chat with a friend who chats with you about what you are up to, and asks follow up questions to keep the conversation going. It writes informally and in single sentences rather than paragraphs about being a helpful assistant.
You can get it from the ollama library here https://ollama.com/gurubot/mellow-mate
Finetuned from llama 3.1 8b
- Downloads last month
- 30
Inference Providers NEW
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# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Gurubot/mellow-mate-8b", filename="", )