How to use soma77/model10 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("soma77/model10", device_map="auto")
How to use soma77/model10 with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf soma77/model10:Q8_0 # Run inference directly in the terminal: llama cli -hf soma77/model10:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf soma77/model10:Q8_0 # Run inference directly in the terminal: llama cli -hf soma77/model10:Q8_0
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 soma77/model10:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf soma77/model10:Q8_0
docker model run hf.co/soma77/model10:Q8_0
How to use soma77/model10 with Ollama:
ollama run hf.co/soma77/model10:Q8_0
How to use soma77/model10 with Docker Model Runner:
How to use soma77/model10 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull soma77/model10:Q8_0
lemonade run user.model10-Q8_0
lemonade list
https://huggingface.co/soma77/model10/resolve/main/tokenizer.json
hf download hf://soma77/model10/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/soma77/model10/resolve/main/tokenizer.json
