Instructions to use austinaguilar/O2M_MDGPT_8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use austinaguilar/O2M_MDGPT_8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("austinaguilar/O2M_MDGPT_8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use austinaguilar/O2M_MDGPT_8B 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 austinaguilar/O2M_MDGPT_8B:Q4_0 # Run inference directly in the terminal: llama cli -hf austinaguilar/O2M_MDGPT_8B:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf austinaguilar/O2M_MDGPT_8B:Q4_0 # Run inference directly in the terminal: llama cli -hf austinaguilar/O2M_MDGPT_8B:Q4_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf austinaguilar/O2M_MDGPT_8B:Q4_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf austinaguilar/O2M_MDGPT_8B:Q4_0
Use Docker
docker model run hf.co/austinaguilar/O2M_MDGPT_8B:Q4_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use austinaguilar/O2M_MDGPT_8B with Ollama:
ollama run hf.co/austinaguilar/O2M_MDGPT_8B:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use austinaguilar/O2M_MDGPT_8B with Docker Model Runner:
docker model run hf.co/austinaguilar/O2M_MDGPT_8B:Q4_0
- Lemonade
How to use austinaguilar/O2M_MDGPT_8B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull austinaguilar/O2M_MDGPT_8B:Q4_0
Run and chat with the model
lemonade run user.O2M_MDGPT_8B-Q4_0
List all available models
lemonade list
- Atomic Chat
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
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adapter_config.json
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