Instructions to use ARM-Development/Llama-3.1-8B-text-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ARM-Development/Llama-3.1-8B-text-1.0 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ARM-Development/Llama-3.1-8B-text-1.0 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 ARM-Development/Llama-3.1-8B-text-1.0 # Run inference directly in the terminal: llama cli -hf ARM-Development/Llama-3.1-8B-text-1.0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ARM-Development/Llama-3.1-8B-text-1.0 # Run inference directly in the terminal: llama cli -hf ARM-Development/Llama-3.1-8B-text-1.0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf ARM-Development/Llama-3.1-8B-text-1.0 # Run inference directly in the terminal: ./build/bin/llama cli -hf ARM-Development/Llama-3.1-8B-text-1.0
Use Docker
docker model run hf.co/ARM-Development/Llama-3.1-8B-text-1.0
- Llama new
- LM Studio
- Jan
- Ollama
How to use ARM-Development/Llama-3.1-8B-text-1.0 with Ollama:
ollama run hf.co/ARM-Development/Llama-3.1-8B-text-1.0
- Unsloth Desktop
- Docker Model Runner
How to use ARM-Development/Llama-3.1-8B-text-1.0 with Docker Model Runner:
docker model run hf.co/ARM-Development/Llama-3.1-8B-text-1.0
- Lemonade
How to use ARM-Development/Llama-3.1-8B-text-1.0 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ARM-Development/Llama-3.1-8B-text-1.0
Run and chat with the model
lemonade run user.Llama-3.1-8B-text-1.0-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from ARM-Development/Llama-3.1-8B-text-1.0: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/ARM-Development/Llama-3.1-8B-text-1.0/resolve/main/tokenizer.json
- Command line
-
hf download hf://ARM-Development/Llama-3.1-8B-text-1.0/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ARM-Development/Llama-3.1-8B-text-1.0/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- da070f8626ee36c29d81d14f7a18b0a943ba6477aaa86b433d0f865f98bf8392
- Size of remote file:
- 17.2 MB
- SHA256:
- 6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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