Instructions to use MoonieJeon/COSMOS-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

llama-cpp-python

How to use MoonieJeon/COSMOS-3B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="MoonieJeon/COSMOS-3B",
	filename="cosmos-3b.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 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 Studio

How to use MoonieJeon/COSMOS-3B 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 MoonieJeon/COSMOS-3B 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 MoonieJeon/COSMOS-3B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MoonieJeon/COSMOS-3B to start chatting

Atomic Chat new
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

COSMOS-3B

File size: 411 Bytes

cd9c13d

{
  "model_type": "phi3",
  "architectures": [ "Phi3ForCausalLM" ],
  "base_model": "microsoft/Phi-3-mini-4k-instruct",
  "quantization": "Q4_K_M",
  "num_parameters": 3800000000,
  "context_length": 4096,
  "license": "mit",
  "languages": [ "fr", "en", "mg" ],
  "tags": [
    "gguf",
    "quantized",
    "phi3",
    "cosmos",
    "aether",
    "sovereign-ai",
    "offline-capable"
  ]
}