Instructions to use bartowski/dolphin-2.9-llama3-8b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use bartowski/dolphin-2.9-llama3-8b-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 bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/dolphin-2.9-llama3-8b-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 bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bartowski/dolphin-2.9-llama3-8b-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 bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/dolphin-2.9-llama3-8b-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 bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/dolphin-2.9-llama3-8b-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/dolphin-2.9-llama3-8b-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/dolphin-2.9-llama3-8b-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M
- Ollama
How to use bartowski/dolphin-2.9-llama3-8b-GGUF with Ollama:
ollama run hf.co/bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bartowski/dolphin-2.9-llama3-8b-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M
- Lemonade
How to use bartowski/dolphin-2.9-llama3-8b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/dolphin-2.9-llama3-8b-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.dolphin-2.9-llama3-8b-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Why no q4_0_4_8?
Sigh...
Cause i made this 6 months ago.
Q4_0_4_8 support was merged 3 months ago.
https://github.com/ggerganov/llama.cpp/commit/0f1a39f3439825acf7e3a1663566d410be152170
I can consider making some quants for this, but I would suggest a different attitude than "Sigh..." if you're going to ask for it.
Roger that, and sorry.
Thank you, and again apologies if I came off rudely. It was purely a moment where sometimes else told me this was "new". So the sigh wasn't meant to be directed towards you as much as the situation of being ill informed by another.
You do so much for the community and I appreciate you sir.
haha it's okay, i appreciate where you're coming from, and appreciate that not all emotions are well translated in text format :)
Enjoy!!
I'd like to add for no reason that nothing is translated well in text format!
haha, had to let that one out due to frustrations elsewhere on Earth... love your work!