IraGia/gprMax_Train
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How to use areen09/gprMax-ft with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("areen09/gprMax-ft", device_map="auto")How to use areen09/gprMax-ft with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf areen09/gprMax-ft:F16 # Run inference directly in the terminal: llama cli -hf areen09/gprMax-ft:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf areen09/gprMax-ft:F16 # Run inference directly in the terminal: llama cli -hf areen09/gprMax-ft:F16
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 areen09/gprMax-ft:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf areen09/gprMax-ft:F16
docker model run hf.co/areen09/gprMax-ft:F16
How to use areen09/gprMax-ft with Ollama:
ollama run hf.co/areen09/gprMax-ft:F16
How to use areen09/gprMax-ft with Docker Model Runner:
docker model run hf.co/areen09/gprMax-ft:F16
How to use areen09/gprMax-ft with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull areen09/gprMax-ft:F16
lemonade run user.gprMax-ft-F16
lemonade list
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
16-bit