Instructions to use bartowski/SmallThinker-3B-Preview-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use bartowski/SmallThinker-3B-Preview-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="bartowski/SmallThinker-3B-Preview-GGUF", filename="SmallThinker-3B-Preview-IQ2_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use bartowski/SmallThinker-3B-Preview-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
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 bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
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 bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use bartowski/SmallThinker-3B-Preview-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bartowski/SmallThinker-3B-Preview-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bartowski/SmallThinker-3B-Preview-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
- Ollama
How to use bartowski/SmallThinker-3B-Preview-GGUF with Ollama:
ollama run hf.co/bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
- Unsloth Studio new
How to use bartowski/SmallThinker-3B-Preview-GGUF 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 bartowski/SmallThinker-3B-Preview-GGUF 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 bartowski/SmallThinker-3B-Preview-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bartowski/SmallThinker-3B-Preview-GGUF to start chatting
- Docker Model Runner
How to use bartowski/SmallThinker-3B-Preview-GGUF with Docker Model Runner:
docker model run hf.co/bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
- Lemonade
How to use bartowski/SmallThinker-3B-Preview-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bartowski/SmallThinker-3B-Preview-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.SmallThinker-3B-Preview-GGUF-Q4_K_M
List all available models
lemonade list
Only exits reasoning some of the time - endless inference
Hello! (sorry for the long upcoming post)
I was wondering if by any chance you've noticed that this model will ~8 out of 10 times just continue to reason and not quit at all? Or take an extremely long time to come to a conclusion?
After looking at the official readme it does say:
Repetition Issue: The model tends to repeat itself when answering high-difficulty questions. Please increase the repetition_penalty to mitigate this issue.
However, even after increasing repetition penalty (a lot) it keeps happening. It's also not so much that it repeats itself, it's more that it just won't stop reasoning.
I've noticed that in the official special_tokens_map.json and some other files that there are all kinds of tokens, I was wondering if that could be it? That maybe they aren't being used?
I'm running it with llama.cpp like this:
./llama-cli -m SmallThinker-3B-Preview-Q5_K_M.gguf -p 'You are a helpful assistant.' --temp 0.7 --top-p 0.8 --top-k 20 --repeat-penalty 1.1 --conversation --chat-template chatml
All of those flags were simply taken from the official generation_config.json.
So I'm a bit lost as to what's happening, do you have any idea what it could be? Thank you and happy new year!