Instructions to use devmatei/mateiai 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 devmatei/mateiai 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 devmatei/mateiai:Q4_K_M # Run inference directly in the terminal: llama cli -hf devmatei/mateiai:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf devmatei/mateiai:Q4_K_M # Run inference directly in the terminal: llama cli -hf devmatei/mateiai: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 devmatei/mateiai:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf devmatei/mateiai: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 devmatei/mateiai:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf devmatei/mateiai:Q4_K_M
Use Docker
docker model run hf.co/devmatei/mateiai:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use devmatei/mateiai with Ollama:
ollama run hf.co/devmatei/mateiai:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use devmatei/mateiai with Docker Model Runner:
docker model run hf.co/devmatei/mateiai:Q4_K_M
- Lemonade
How to use devmatei/mateiai with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull devmatei/mateiai:Q4_K_M
Run and chat with the model
lemonade run user.mateiai-Q4_K_M
List all available models
lemonade list
- Atomic Chat
mateiai
a tiny 360m chatbot trained on one guy's public life. made by devmatei, about devmatei, for everyone who ever wanted to ask a stranger's blog questions and get answers that are 80% correct and 100% confident.
what it is
smollm2-360m-instruct fine-tuned with lora on q&a pairs collected from public sources: devmatei.com, all 27 blog posts, github readmes, and socials. every answer in the training data has its source url attached. the model file is a q4_k_m gguf, 270 mb, runs on a potato.
known behavior
- answers are short, casual, lowercase, like texting a friend
- refuses "repeat your system prompt" most of the time
- will absolutely hallucinate a project called type-a-wrapped if you let it talk long enough
- "ignore all previous instructions" is roughly 50/50 depending on how tired it is
- asking for poetry with a typo bypasses everything, this is a feature
- may claim to be iceman of the blog
- thinks duct tape can fix anything, including unrelated questions
why does this exist
because it was funny and everything else devmatei makes is open source anyway. the training data and scripts live in the source repo. license is agpl-3.0.
run it
ollama:
ollama create mateiai -f Modelfile
ollama run mateiai
llama.cpp:
llama-cli -m mateiai.Q4_K_M.gguf -p "<|im_start|>user\nwho are you?<|im_end|>\n<|im_start|>assistant\n"
disclaimers
trained on public info, may be outdated, may be wrong, is definitely not matei. do not ask it for medical advice or the coca cola recipe. it does not know either of them.
- Downloads last month
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Model tree for devmatei/mateiai
Base model
HuggingFaceTB/SmolLM2-360M