Instructions to use QuantFactory/Biggie-SmoLlm-0.4B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use QuantFactory/Biggie-SmoLlm-0.4B-GGUF 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 QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M
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 QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use QuantFactory/Biggie-SmoLlm-0.4B-GGUF with Ollama:
ollama run hf.co/QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use QuantFactory/Biggie-SmoLlm-0.4B-GGUF with Docker Model Runner:
docker model run hf.co/QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M
- Lemonade
How to use QuantFactory/Biggie-SmoLlm-0.4B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull QuantFactory/Biggie-SmoLlm-0.4B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Biggie-SmoLlm-0.4B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
QuantFactory/Biggie-SmoLlm-0.4B-GGUF
This is quantized version of nisten/Biggie-SmoLlm-0.4B created using llama.cpp
Original Model Card
###Coherent Frankenstein of smolLm-0.36b upped to 0.4b
This took about 5 hours of semi-automated continuous merging to figure out the recipe. Model is smarter, and UNTRAINED. Uploaded it for training. Yet it performs well as is even quantized to 8bit. 8bit gguf included for testing.
wget https://huggingface.co/nisten/Biggie-SmoLlm-0.4B/resolve/main/Biggie_SmolLM_400M_q8_0.gguf
./llama-cli -ngl 99 -co --temp 0 -p "How to build a city on Mars via calculating Aldrin-Cycler orbits?" -m Biggie_SmolLM_400M_q8_0.gguf -cnv -fa --keep -1
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Model tree for QuantFactory/Biggie-SmoLlm-0.4B-GGUF
Base model
HuggingFaceTB/SmolLM-360M Quantized
HuggingFaceTB/SmolLM-360M-Instruct