Instructions to use AI-Sweden-Models/Llama-3-8B-instruct-q8-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 AI-Sweden-Models/Llama-3-8B-instruct-q8-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 AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf # Run inference directly in the terminal: llama cli -hf AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf # Run inference directly in the terminal: llama cli -hf AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf
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 AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf # Run inference directly in the terminal: ./llama-cli -hf AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf
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 AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf # Run inference directly in the terminal: ./build/bin/llama-cli -hf AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf
Use Docker
docker model run hf.co/AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf
- LM Studio
- Jan
- Ollama
How to use AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf with Ollama:
ollama run hf.co/AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf
- Unsloth Desktop
- Docker Model Runner
How to use AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf with Docker Model Runner:
docker model run hf.co/AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf
- Lemonade
How to use AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf
Run and chat with the model
lemonade run user.Llama-3-8B-instruct-q8-gguf-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download llama3-8b-instruct-q8.gguf from AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf: direct link, hf CLI and curl.
- Browser
- Download file 8.54 GB
-
https://huggingface.co/AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf/resolve/main/llama3-8b-instruct-q8.gguf
- Command line
-
hf download hf://AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf/llama3-8b-instruct-q8.gguf
-
curl -L -o llama3-8b-instruct-q8.gguf https://huggingface.co/AI-Sweden-Models/Llama-3-8B-instruct-q8-gguf/resolve/main/llama3-8b-instruct-q8.gguf
8.54 GB
- Xet hash:
- 520478e16662fe29c3915dc41f51c8a96a1eef3dc953b05def7c3e21ea7692d8
- Size of remote file:
- 8.54 GB
- SHA256:
- 2c1286b9a8db71deda1caa8742f16070a74b583f010a63708b31d9441569900e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.