Instructions to use Donnyed/Physicsgemma2bAlpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Donnyed/Physicsgemma2bAlpaca with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Donnyed/Physicsgemma2bAlpaca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Donnyed/Physicsgemma2bAlpaca 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 Donnyed/Physicsgemma2bAlpaca:Q8_0 # Run inference directly in the terminal: llama cli -hf Donnyed/Physicsgemma2bAlpaca:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Donnyed/Physicsgemma2bAlpaca:Q8_0 # Run inference directly in the terminal: llama cli -hf Donnyed/Physicsgemma2bAlpaca: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 Donnyed/Physicsgemma2bAlpaca:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf Donnyed/Physicsgemma2bAlpaca: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 Donnyed/Physicsgemma2bAlpaca:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Donnyed/Physicsgemma2bAlpaca:Q8_0
Use Docker
docker model run hf.co/Donnyed/Physicsgemma2bAlpaca:Q8_0
- LM Studio
- Jan
- Ollama
How to use Donnyed/Physicsgemma2bAlpaca with Ollama:
ollama run hf.co/Donnyed/Physicsgemma2bAlpaca:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use Donnyed/Physicsgemma2bAlpaca with Docker Model Runner:
docker model run hf.co/Donnyed/Physicsgemma2bAlpaca:Q8_0
- Lemonade
How to use Donnyed/Physicsgemma2bAlpaca with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Donnyed/Physicsgemma2bAlpaca:Q8_0
Run and chat with the model
lemonade run user.Physicsgemma2bAlpaca-Q8_0
List all available models
lemonade list
- Atomic Chat
Download Physicsgemma2bAlpaca-unsloth.Q8_0.gguf from Donnyed/Physicsgemma2bAlpaca: direct link, hf CLI and curl.
- Browser
- Download file 2.67 GB
-
https://huggingface.co/Donnyed/Physicsgemma2bAlpaca/resolve/main/Physicsgemma2bAlpaca-unsloth.Q8_0.gguf
- Command line
-
hf download hf://Donnyed/Physicsgemma2bAlpaca/Physicsgemma2bAlpaca-unsloth.Q8_0.gguf
-
curl -L -o Physicsgemma2bAlpaca-unsloth.Q8_0.gguf https://huggingface.co/Donnyed/Physicsgemma2bAlpaca/resolve/main/Physicsgemma2bAlpaca-unsloth.Q8_0.gguf
2.67 GB
- Xet hash:
- 85ddd82c61577187c825b378462ec9830a3b2c430248f32e63a4dab7e38029b7
- Size of remote file:
- 2.67 GB
- SHA256:
- 7590437aacb629d0bc4d6d5fbd3e0d023f4bb02fdbde98ab186e889277429d6c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.