roneneldan/TinyStories
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How to use nahcmon/My-First-Model with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf nahcmon/My-First-Model # Run inference directly in the terminal: llama cli -hf nahcmon/My-First-Model
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nahcmon/My-First-Model # Run inference directly in the terminal: llama cli -hf nahcmon/My-First-Model
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 nahcmon/My-First-Model # Run inference directly in the terminal: ./build/bin/llama cli -hf nahcmon/My-First-Model
docker model run hf.co/nahcmon/My-First-Model
How to use nahcmon/My-First-Model with Ollama:
ollama run hf.co/nahcmon/My-First-Model
How to use nahcmon/My-First-Model with Docker Model Runner:
docker model run hf.co/nahcmon/My-First-Model
How to use nahcmon/My-First-Model with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nahcmon/My-First-Model
lemonade run user.My-First-Model-{{QUANT_TAG}}lemonade list
This is my very first fully self trained LLM that outputs something that is actually related to the input. Note that this is only a ~170M parameter model trained exclusively on the TinyStories dataset, so do not expect any record-breaking outputs. Just a dude on the internet trying to make something.