Instructions to use MoonieJeon/COSMOS-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use MoonieJeon/COSMOS-3B with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use MoonieJeon/COSMOS-3B 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 MoonieJeon/COSMOS-3B # Run inference directly in the terminal: llama cli -hf MoonieJeon/COSMOS-3B
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MoonieJeon/COSMOS-3B # Run inference directly in the terminal: llama cli -hf MoonieJeon/COSMOS-3B
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 MoonieJeon/COSMOS-3B # Run inference directly in the terminal: ./llama-cli -hf MoonieJeon/COSMOS-3B
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 MoonieJeon/COSMOS-3B # Run inference directly in the terminal: ./build/bin/llama-cli -hf MoonieJeon/COSMOS-3B
Use Docker
docker model run hf.co/MoonieJeon/COSMOS-3B
- LM Studio
- Jan
- Ollama
How to use MoonieJeon/COSMOS-3B with Ollama:
ollama run hf.co/MoonieJeon/COSMOS-3B
- Unsloth Desktop
- Docker Model Runner
How to use MoonieJeon/COSMOS-3B with Docker Model Runner:
docker model run hf.co/MoonieJeon/COSMOS-3B
- Lemonade
How to use MoonieJeon/COSMOS-3B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MoonieJeon/COSMOS-3B
Run and chat with the model
lemonade run user.COSMOS-3B-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
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Download README.md from MoonieJeon/COSMOS-3B: direct link, hf CLI and curl.
- Browser
- Download file 1.32 kB
-
https://huggingface.co/MoonieJeon/COSMOS-3B/resolve/main/README.md
- Command line
-
hf download hf://MoonieJeon/COSMOS-3B/README.md
-
curl -L -o README.md https://huggingface.co/MoonieJeon/COSMOS-3B/resolve/main/README.md
1.32 kB
| license: mit | |
| base_model: microsoft/Phi-3-mini-4k-instruct | |
| tags: | |
| - phi3 | |
| - cosmos | |
| - local-ai | |
| - sovereign-ai | |
| - gguf | |
| language: | |
| - fr | |
| - en | |
| - mg | |
| # COSMOS-3B | |
| COSMOS-3B is a sovereign language model optimized for structured writing and professional assistance. It is designed for seamless offline execution, ensuring complete data privacy and sovereignty. | |
| ## Technical Specifications | |
| - **Base Model:** Phi-3-Mini (3.8B) | |
| - **Quantization:** Q4_K_M | |
| - **Format:** GGUF (Optimized for LLamaSharp) | |
| - **Primary Goal:** Structured content generation (AIDA framework). | |
| ## Why COSMOS-3B? | |
| COSMOS-3B is the core inference engine of the **Aether Project**, built to address three critical needs: | |
| 1. **Resilience:** Fully operational without internet dependency. | |
| 2. **Privacy:** On-device processing ensures that user data never leaves the local environment. | |
| 3. **Interoperability:** Standardized GGUF format for cross-platform compatibility. | |
| Compatibility | |
| COSMOS-3B is provided in GGUF format. | |
| It is compatible with all standard GGUF-compliant inference engines, including (but not limited to) LLamaSharp (C#), llama.cpp (C++), and various PHP-based LLM frameworks. | |
| ## License | |
| This model is distributed under the **MIT** license. This ensures maximum flexibility and transparency for your projects. |