Hackdata 2025 - Models
Collection
This collection contains the models and dataset that was used for Hackdata 2025. • 5 items • Updated
How to use XoXoHarsh/diet-assistant-tinyllama with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("XoXoHarsh/diet-assistant-tinyllama", device_map="auto")How to use XoXoHarsh/diet-assistant-tinyllama with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf XoXoHarsh/diet-assistant-tinyllama:Q4_K_M # Run inference directly in the terminal: llama cli -hf XoXoHarsh/diet-assistant-tinyllama:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf XoXoHarsh/diet-assistant-tinyllama:Q4_K_M # Run inference directly in the terminal: llama cli -hf XoXoHarsh/diet-assistant-tinyllama:Q4_K_M
# 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 XoXoHarsh/diet-assistant-tinyllama:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf XoXoHarsh/diet-assistant-tinyllama:Q4_K_M
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 XoXoHarsh/diet-assistant-tinyllama:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf XoXoHarsh/diet-assistant-tinyllama:Q4_K_M
docker model run hf.co/XoXoHarsh/diet-assistant-tinyllama:Q4_K_M
How to use XoXoHarsh/diet-assistant-tinyllama with Ollama:
ollama run hf.co/XoXoHarsh/diet-assistant-tinyllama:Q4_K_M
How to use XoXoHarsh/diet-assistant-tinyllama with Docker Model Runner:
docker model run hf.co/XoXoHarsh/diet-assistant-tinyllama:Q4_K_M
How to use XoXoHarsh/diet-assistant-tinyllama with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull XoXoHarsh/diet-assistant-tinyllama:Q4_K_M
lemonade run user.diet-assistant-tinyllama-Q4_K_M
lemonade list
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
4-bit
8-bit
Base model
unsloth/tinyllama-chat-bnb-4bit