How to use whoami02/troubleshooting_1 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="whoami02/troubleshooting_1", filename="unsloth.F16.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
How to use whoami02/troubleshooting_1 with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf whoami02/troubleshooting_1:Q4_K_M # Run inference directly in the terminal: llama-cli -hf whoami02/troubleshooting_1:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf whoami02/troubleshooting_1:Q4_K_M # Run inference directly in the terminal: llama-cli -hf whoami02/troubleshooting_1:Q4_K_M
# 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 whoami02/troubleshooting_1:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf whoami02/troubleshooting_1:Q4_K_M
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 whoami02/troubleshooting_1:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf whoami02/troubleshooting_1:Q4_K_M
docker model run hf.co/whoami02/troubleshooting_1:Q4_K_M
How to use whoami02/troubleshooting_1 with Ollama:
ollama run hf.co/whoami02/troubleshooting_1:Q4_K_M
How to use whoami02/troubleshooting_1 with Unsloth Studio:
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 whoami02/troubleshooting_1 to start chatting
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 whoami02/troubleshooting_1 to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for whoami02/troubleshooting_1 to start chatting
How to use whoami02/troubleshooting_1 with Docker Model Runner:
How to use whoami02/troubleshooting_1 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull whoami02/troubleshooting_1:Q4_K_M
lemonade run user.troubleshooting_1-Q4_K_M
lemonade list
docker model run hf.co/whoami02/troubleshooting_1: F16 Q4_K_M Q5_K_M Q8_0
Finetuned llama3.2-3b model on personal dataset.
4-bit
5-bit
8-bit
16-bit
docker model run hf.co/whoami02/troubleshooting_1: