- Libraries
- Trellis
How to use PollardWeights/FrogMini-14B-Pollard with Trellis:
# No code snippets available yet for this library.
# To use this model, check the repository files and the library's documentation.
# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use PollardWeights/FrogMini-14B-Pollard 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 PollardWeights/FrogMini-14B-Pollard:IQ2_S
# Run inference directly in the terminal:
llama cli -hf PollardWeights/FrogMini-14B-Pollard:IQ2_S
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf PollardWeights/FrogMini-14B-Pollard:IQ2_S
# Run inference directly in the terminal:
llama cli -hf PollardWeights/FrogMini-14B-Pollard:IQ2_S
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 PollardWeights/FrogMini-14B-Pollard:IQ2_S
# Run inference directly in the terminal:
./llama-cli -hf PollardWeights/FrogMini-14B-Pollard:IQ2_S
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 PollardWeights/FrogMini-14B-Pollard:IQ2_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf PollardWeights/FrogMini-14B-Pollard:IQ2_S
Use Docker
docker model run hf.co/PollardWeights/FrogMini-14B-Pollard:IQ2_S
- LM Studio
- Jan
- vLLM
How to use PollardWeights/FrogMini-14B-Pollard with vLLM:
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PollardWeights/FrogMini-14B-Pollard"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "PollardWeights/FrogMini-14B-Pollard",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'Use Docker
docker model run hf.co/PollardWeights/FrogMini-14B-Pollard:IQ2_S
- Ollama
How to use PollardWeights/FrogMini-14B-Pollard with Ollama:
ollama run hf.co/PollardWeights/FrogMini-14B-Pollard:IQ2_S
- Unsloth Desktop
- Docker Model Runner
How to use PollardWeights/FrogMini-14B-Pollard with Docker Model Runner:
docker model run hf.co/PollardWeights/FrogMini-14B-Pollard:IQ2_S
- Lemonade
How to use PollardWeights/FrogMini-14B-Pollard with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull PollardWeights/FrogMini-14B-Pollard:IQ2_S
Run and chat with the model
lemonade run user.FrogMini-14B-Pollard-IQ2_S
List all available models
lemonade list
- Atomic Chat
