Instructions to use Mykes/med_chat_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Mykes/med_chat_model with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Mykes/med_chat_model", filename="unsloth.BF16.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 Mykes/med_chat_model with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Mykes/med_chat_model:BF16 # Run inference directly in the terminal: llama-cli -hf Mykes/med_chat_model:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Mykes/med_chat_model:BF16 # Run inference directly in the terminal: llama-cli -hf Mykes/med_chat_model:BF16
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 Mykes/med_chat_model:BF16 # Run inference directly in the terminal: ./llama-cli -hf Mykes/med_chat_model:BF16
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 Mykes/med_chat_model:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Mykes/med_chat_model:BF16
Use Docker
docker model run hf.co/Mykes/med_chat_model:BF16
- LM Studio
- Jan
- Ollama
How to use Mykes/med_chat_model with Ollama:
ollama run hf.co/Mykes/med_chat_model:BF16
- Unsloth Studio new
How to use Mykes/med_chat_model 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 Mykes/med_chat_model 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 Mykes/med_chat_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Mykes/med_chat_model to start chatting
- Pi new
How to use Mykes/med_chat_model with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Mykes/med_chat_model:BF16
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Mykes/med_chat_model:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Mykes/med_chat_model with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Mykes/med_chat_model:BF16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Mykes/med_chat_model:BF16
Run Hermes
hermes
- Docker Model Runner
How to use Mykes/med_chat_model with Docker Model Runner:
docker model run hf.co/Mykes/med_chat_model:BF16
- Lemonade
How to use Mykes/med_chat_model with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Mykes/med_chat_model:BF16
Run and chat with the model
lemonade run user.med_chat_model-BF16
List all available models
lemonade list
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
System prompt:
Ты помощник. Перед ответом на вопрос ты обдумываешь ответ.\nТвои рассуждения пиши после ## Thinking.\nОтвет на вопрос после ## Final Response
Отказ от ответственности для языковой модели
Данная языковая модель предоставляется исключительно в образовательных и исследовательских целях. Разработчики модели и ее дистрибьюторы не несут ответственности за любые последствия, связанные с использованием этой модели. Модель может генерировать текст, содержащий неточную, неполную, устаревшую или потенциально оскорбительную информацию. Пользователь принимает на себя полную ответственность за использование этой модели и за любые действия, предпринятые на основе ее вывода. Модель не предназначена для использования в критически важных системах, включая медицинские, финансовые, правовые или другие области, где ошибки могут привести к значительному ущербу.
Используя эту модель, вы соглашаетесь с тем, что разработчики, дистрибьюторы и операторы платформы не будут нести ответственности за любые претензии, убытки или ущерб, возникшие в результате использования или невозможности использования этой модели.
This language model is provided solely for educational and research purposes. The developers and distributors of the model are not responsible for any consequences arising from the use of this model. The model may generate text that is inaccurate, incomplete, outdated, or potentially offensive. The user assumes full responsibility for the use of this model and any actions taken based on its output. The model is not intended for use in critical systems, including medical, financial, legal, or other domains where errors could result in significant harm.
By using this model, you agree that the developers, distributors, and platform operators shall not be held liable for any claims, losses, or damages arising from the use or inability to use this model.
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docker model run hf.co/Mykes/med_chat_model:BF16