Instructions to use mradermacher/CosmoGPT2-Mini-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/CosmoGPT2-Mini-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/CosmoGPT2-Mini-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/CosmoGPT2-Mini-GGUF 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 mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M
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 mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M
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 mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/CosmoGPT2-Mini-GGUF with Ollama:
ollama run hf.co/mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/CosmoGPT2-Mini-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/CosmoGPT2-Mini-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/CosmoGPT2-Mini-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.CosmoGPT2-Mini-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download CosmoGPT2-Mini.Q3_K_M.gguf from mradermacher/CosmoGPT2-Mini-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 81.5 MB
-
https://huggingface.co/mradermacher/CosmoGPT2-Mini-GGUF/resolve/main/CosmoGPT2-Mini.Q3_K_M.gguf
- Command line
-
hf download hf://mradermacher/CosmoGPT2-Mini-GGUF/CosmoGPT2-Mini.Q3_K_M.gguf
-
curl -L -o CosmoGPT2-Mini.Q3_K_M.gguf https://huggingface.co/mradermacher/CosmoGPT2-Mini-GGUF/resolve/main/CosmoGPT2-Mini.Q3_K_M.gguf
81.5 MB
- Xet hash:
- a10ab104638783a0eb97efa5887655e843fa68154c11a05ba42cfada5e6b6e1e
- Size of remote file:
- 81.5 MB
- SHA256:
- f368d307af061d15931ee12eec9accaa886173d05ed737b872a6d73a7352a599
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