How to use kstan79/llama3.1-8b-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kstan79/llama3.1-8b-test", device_map="auto")
How to use kstan79/llama3.1-8b-test with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf kstan79/llama3.1-8b-test:Q4_K_M # Run inference directly in the terminal: llama cli -hf kstan79/llama3.1-8b-test:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf kstan79/llama3.1-8b-test:Q4_K_M # Run inference directly in the terminal: llama cli -hf kstan79/llama3.1-8b-test:Q4_K_M
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 kstan79/llama3.1-8b-test:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf kstan79/llama3.1-8b-test:Q4_K_M
docker model run hf.co/kstan79/llama3.1-8b-test:Q4_K_M
How to use kstan79/llama3.1-8b-test with Ollama:
ollama run hf.co/kstan79/llama3.1-8b-test:Q4_K_M
How to use kstan79/llama3.1-8b-test with Docker Model Runner:
How to use kstan79/llama3.1-8b-test with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull kstan79/llama3.1-8b-test:Q4_K_M
lemonade run user.llama3.1-8b-test-Q4_K_M
lemonade list
https://huggingface.co/kstan79/llama3.1-8b-test/resolve/main/tokenizer.json
hf download hf://kstan79/llama3.1-8b-test/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/kstan79/llama3.1-8b-test/resolve/main/tokenizer.json
