Instructions to use aryyanthakrr/Kepler-70B-Orbit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use aryyanthakrr/Kepler-70B-Orbit with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="aryyanthakrr/Kepler-70B-Orbit", filename="Kepler-70B-Orbit-Q4.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use aryyanthakrr/Kepler-70B-Orbit 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 aryyanthakrr/Kepler-70B-Orbit # Run inference directly in the terminal: llama cli -hf aryyanthakrr/Kepler-70B-Orbit
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf aryyanthakrr/Kepler-70B-Orbit # Run inference directly in the terminal: llama cli -hf aryyanthakrr/Kepler-70B-Orbit
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 aryyanthakrr/Kepler-70B-Orbit # Run inference directly in the terminal: ./llama-cli -hf aryyanthakrr/Kepler-70B-Orbit
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 aryyanthakrr/Kepler-70B-Orbit # Run inference directly in the terminal: ./build/bin/llama-cli -hf aryyanthakrr/Kepler-70B-Orbit
Use Docker
docker model run hf.co/aryyanthakrr/Kepler-70B-Orbit
- LM Studio
- Jan
- Ollama
How to use aryyanthakrr/Kepler-70B-Orbit with Ollama:
ollama run hf.co/aryyanthakrr/Kepler-70B-Orbit
- Unsloth Studio
How to use aryyanthakrr/Kepler-70B-Orbit 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 aryyanthakrr/Kepler-70B-Orbit 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 aryyanthakrr/Kepler-70B-Orbit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aryyanthakrr/Kepler-70B-Orbit to start chatting
- Atomic Chat new
- Docker Model Runner
How to use aryyanthakrr/Kepler-70B-Orbit with Docker Model Runner:
docker model run hf.co/aryyanthakrr/Kepler-70B-Orbit
- Lemonade
How to use aryyanthakrr/Kepler-70B-Orbit with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aryyanthakrr/Kepler-70B-Orbit
Run and chat with the model
lemonade run user.Kepler-70B-Orbit-{{QUANT_TAG}}List all available models
lemonade list
🪐 Kepler-70B-Orbit
Maintained by aryyanthakrr
Kepler-70B-Orbit is an advanced open-source reasoning engine built on top of the Llama-3.3 70B architecture and distilled with DeepSeek-R1 intelligence. It excels at complex multi-step reasoning, mathematical problem solving, and professional-grade coding.
🚀 Key Features
- Deep Reasoning Engine: Processes logic step-by-step before answering.
- Quantized GGUF Format: Optimized for local and server-side deployment with minimal RAM overhead.
- State-of-the-Art Architecture: Blends conversational flow with raw logical computing power.
💻 How to Use Local
You can run this model locally using tools like LM Studio or Ollama by searching for aryyanthakrr/Kepler-70B-Orbit.
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Model tree for aryyanthakrr/Kepler-70B-Orbit
Base model
unsloth/DeepSeek-R1-Distill-Llama-70B