Safetensors
GGUF
English
llama
conversational
How to use from
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 nahcmon/My-First-Model
# Run inference directly in the terminal:
llama cli -hf nahcmon/My-First-Model
Install from WinGet (Windows)
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
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 nahcmon/My-First-Model
# Run inference directly in the terminal:
./build/bin/llama cli -hf nahcmon/My-First-Model
Use Docker
docker model run hf.co/nahcmon/My-First-Model
Quick Links

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.

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Model size
0.2B params
Tensor type
F32
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Dataset used to train nahcmon/My-First-Model