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 ggml-org-dev/stories260K
# Run inference directly in the terminal:
llama cli -hf ggml-org-dev/stories260K
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ggml-org-dev/stories260K
# Run inference directly in the terminal:
llama cli -hf ggml-org-dev/stories260K
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 ggml-org-dev/stories260K
# Run inference directly in the terminal:
./build/bin/llama cli -hf ggml-org-dev/stories260K
Use Docker
docker model run hf.co/ggml-org-dev/stories260K
Quick Links

stories260K

Tiny model used by the llama.cpp test suite and CI. It is not meant for real-world use.

Originally hosted at ggml-org/models/tinyllamas/.

  • stories260K.gguf: karpathy/tinyllamas stories260K
  • stories260K-be.gguf: big-endian variant (s390x CI)
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Model size
293k params
Architecture
llama
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