Instructions to use LazyCatAI/llama-3-8b-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LazyCatAI/llama-3-8b-test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "LazyCatAI/llama-3-8b-test") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use LazyCatAI/llama-3-8b-test 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 LazyCatAI/llama-3-8b-test # Run inference directly in the terminal: llama cli -hf LazyCatAI/llama-3-8b-test
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf LazyCatAI/llama-3-8b-test # Run inference directly in the terminal: llama cli -hf LazyCatAI/llama-3-8b-test
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 LazyCatAI/llama-3-8b-test # Run inference directly in the terminal: ./build/bin/llama cli -hf LazyCatAI/llama-3-8b-test
Use Docker
docker model run hf.co/LazyCatAI/llama-3-8b-test
- Llama new
- LM Studio
- Jan
- Ollama
How to use LazyCatAI/llama-3-8b-test with Ollama:
ollama run hf.co/LazyCatAI/llama-3-8b-test
- Unsloth Desktop
- Docker Model Runner
How to use LazyCatAI/llama-3-8b-test with Docker Model Runner:
docker model run hf.co/LazyCatAI/llama-3-8b-test
- Lemonade
How to use LazyCatAI/llama-3-8b-test with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull LazyCatAI/llama-3-8b-test
Run and chat with the model
lemonade run user.llama-3-8b-test-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download optimizer.pt from LazyCatAI/llama-3-8b-test: direct link, hf CLI and curl.
- Browser
- Download file 179 MB
-
https://huggingface.co/LazyCatAI/llama-3-8b-test/resolve/main/optimizer.pt
- Command line
-
hf download hf://LazyCatAI/llama-3-8b-test/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/LazyCatAI/llama-3-8b-test/resolve/main/optimizer.pt
179 MB
- Xet hash:
- d788a964f5c5e841830624a8896e45d2cef72de441f7d6a1af6760cd05c23a4c
- Size of remote file:
- 179 MB
- SHA256:
- dcf620435c48ddd9ffa988b611f5c0ead82bfb3f90f755f5e754902ac1c64b02
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