Instructions to use Dabococo/Minecraft_Flans_Mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Dabococo/Minecraft_Flans_Mod with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Dabococo/Minecraft_Flans_Mod", filename="FullPrecision_WW2-Server_Model.F16.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Dabococo/Minecraft_Flans_Mod with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Dabococo/Minecraft_Flans_Mod:F16 # Run inference directly in the terminal: llama-cli -hf Dabococo/Minecraft_Flans_Mod:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Dabococo/Minecraft_Flans_Mod:F16 # Run inference directly in the terminal: llama-cli -hf Dabococo/Minecraft_Flans_Mod:F16
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 Dabococo/Minecraft_Flans_Mod:F16 # Run inference directly in the terminal: ./llama-cli -hf Dabococo/Minecraft_Flans_Mod:F16
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 Dabococo/Minecraft_Flans_Mod:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Dabococo/Minecraft_Flans_Mod:F16
Use Docker
docker model run hf.co/Dabococo/Minecraft_Flans_Mod:F16
- LM Studio
- Jan
- Ollama
How to use Dabococo/Minecraft_Flans_Mod with Ollama:
ollama run hf.co/Dabococo/Minecraft_Flans_Mod:F16
- Unsloth Studio new
How to use Dabococo/Minecraft_Flans_Mod 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 Dabococo/Minecraft_Flans_Mod 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 Dabococo/Minecraft_Flans_Mod to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Dabococo/Minecraft_Flans_Mod to start chatting
- Docker Model Runner
How to use Dabococo/Minecraft_Flans_Mod with Docker Model Runner:
docker model run hf.co/Dabococo/Minecraft_Flans_Mod:F16
- Lemonade
How to use Dabococo/Minecraft_Flans_Mod with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Dabococo/Minecraft_Flans_Mod:F16
Run and chat with the model
lemonade run user.Minecraft_Flans_Mod-F16
List all available models
lemonade list
Update README.md
Browse files
README.md
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# Model Card for Model ID
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### A new version of the model is coming soon with all the knowledge of the HBM Nuclear Tech Mod !!
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## Model Details
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## WARNING The AI model is not specific to Flan’s mod, it still includes NOTHING. BUT a new version of the model is coming soon with all the knowledge of the HBM Nuclear Tech Mod !!
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## ATTENTION Le modèle d'IA n'est pas dutout spéécialisé en Flan's mod, il comprend encore RIEN. MAIS une nouvelle version du modèle arrive bientôt avec toutes les connaissances du mod HBM Nuclear Tech Mod !!
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**Modèle crée uniquement pour le serveur Minecraft Openwar Edition WW2 : https://openwar.fr / https://www.technicpack.net/modpack/openwar-ww2-edition.1971713**
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## Model Details
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