Instructions to use RDson/llava-llama-3-8b-v1_1-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 RDson/llava-llama-3-8b-v1_1-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 RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf RDson/llava-llama-3-8b-v1_1-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 RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf RDson/llava-llama-3-8b-v1_1-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 RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf RDson/llava-llama-3-8b-v1_1-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 RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use RDson/llava-llama-3-8b-v1_1-GGUF with Ollama:
ollama run hf.co/RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use RDson/llava-llama-3-8b-v1_1-GGUF with Docker Model Runner:
docker model run hf.co/RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M
- Lemonade
How to use RDson/llava-llama-3-8b-v1_1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RDson/llava-llama-3-8b-v1_1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.llava-llama-3-8b-v1_1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Needs the projector file in GGUF as well...
I think for the model to be complete and be capable of being run via the llava-cli module of llama.cpp, you also need to quantize the projector .safetensors file to GGUF (it's small so Q8_0 would be totally usable).
I tried but the ProjectorModel architecture did not work properly for me. :/
If someone else successfully does it then feel free to share.
I’ve tried using mmproj from another repo but it doesn’t work (with LM Studio), it keeps saying that the model is not capable to read image
I got it running in LMStudio using the vision adapter from koboldcpp for Llama3-8b.
My main model file is the Q5_K_M version.
But performance isn't great, probably because of mismatching quantization accuracies (?)..