Instructions to use sachin6624/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 sachin6624/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 sachin6624/llama3-8b-gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf sachin6624/llama3-8b-gguf:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sachin6624/llama3-8b-gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf sachin6624/llama3-8b-gguf:Q8_0
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 sachin6624/llama3-8b-gguf:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf sachin6624/llama3-8b-gguf:Q8_0
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 sachin6624/llama3-8b-gguf:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf sachin6624/llama3-8b-gguf:Q8_0
Use Docker
docker model run hf.co/sachin6624/llama3-8b-gguf:Q8_0
- LM Studio
- Jan
- Ollama
How to use sachin6624/llama3-8b-gguf with Ollama:
ollama run hf.co/sachin6624/llama3-8b-gguf:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use sachin6624/llama3-8b-gguf with Docker Model Runner:
docker model run hf.co/sachin6624/llama3-8b-gguf:Q8_0
- Lemonade
How to use sachin6624/llama3-8b-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sachin6624/llama3-8b-gguf:Q8_0
Run and chat with the model
lemonade run user.llama3-8b-gguf-Q8_0
List all available models
lemonade list
- Atomic Chat
Download llama-3-8b.Q8_0.gguf from sachin6624/llama3-8b-gguf: direct link, hf CLI and curl.
- Browser
- Download file 8.54 GB
-
https://huggingface.co/sachin6624/llama3-8b-gguf/resolve/main/llama-3-8b.Q8_0.gguf
- Command line
-
hf download hf://sachin6624/llama3-8b-gguf/llama-3-8b.Q8_0.gguf
-
curl -L -o llama-3-8b.Q8_0.gguf https://huggingface.co/sachin6624/llama3-8b-gguf/resolve/main/llama-3-8b.Q8_0.gguf
8.54 GB
- Xet hash:
- e5d976d2bb6ba3d93141ae943a48418ae311104c3d32d7cfe79ff36b4c24876e
- Size of remote file:
- 8.54 GB
- SHA256:
- 11e885c65f6d28f2d738d94ef5f2c236e52517c63f44f57e06d1b418cb66bdaf
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