Instructions to use Niansuh/Biggie-SmoLlm-0.15B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Niansuh/Biggie-SmoLlm-0.15B-Base with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Niansuh/Biggie-SmoLlm-0.15B-Base", filename="Biggie_SmolLM_0.15B_Base_bf16.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Niansuh/Biggie-SmoLlm-0.15B-Base with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Niansuh/Biggie-SmoLlm-0.15B-Base:BF16 # Run inference directly in the terminal: llama-cli -hf Niansuh/Biggie-SmoLlm-0.15B-Base:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Niansuh/Biggie-SmoLlm-0.15B-Base:BF16 # Run inference directly in the terminal: llama-cli -hf Niansuh/Biggie-SmoLlm-0.15B-Base:BF16
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 Niansuh/Biggie-SmoLlm-0.15B-Base:BF16 # Run inference directly in the terminal: ./llama-cli -hf Niansuh/Biggie-SmoLlm-0.15B-Base:BF16
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 Niansuh/Biggie-SmoLlm-0.15B-Base:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Niansuh/Biggie-SmoLlm-0.15B-Base:BF16
Use Docker
docker model run hf.co/Niansuh/Biggie-SmoLlm-0.15B-Base:BF16
- LM Studio
- Jan
- Ollama
How to use Niansuh/Biggie-SmoLlm-0.15B-Base with Ollama:
ollama run hf.co/Niansuh/Biggie-SmoLlm-0.15B-Base:BF16
- Unsloth Studio
How to use Niansuh/Biggie-SmoLlm-0.15B-Base with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Niansuh/Biggie-SmoLlm-0.15B-Base to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Niansuh/Biggie-SmoLlm-0.15B-Base to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Niansuh/Biggie-SmoLlm-0.15B-Base to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Niansuh/Biggie-SmoLlm-0.15B-Base with Docker Model Runner:
docker model run hf.co/Niansuh/Biggie-SmoLlm-0.15B-Base:BF16
- Lemonade
How to use Niansuh/Biggie-SmoLlm-0.15B-Base with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Niansuh/Biggie-SmoLlm-0.15B-Base:BF16
Run and chat with the model
lemonade run user.Biggie-SmoLlm-0.15B-Base-BF16
List all available models
lemonade list
- Xet hash:
- 8430888412bd00cc3abd816ddcfdf01a208eb2b7630f92b1a0ae237d7b26ea25
- Size of remote file:
- 363 MB
- SHA256:
- fa567e7fe3fb07549881f8cb50172dd3fd6a15ada0e8e9b007fd4a04ad254180
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