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 ViorikaAI-org/CalmaCatCoder-next-mini-gguf:F16
# Run inference directly in the terminal:
llama cli -hf ViorikaAI-org/CalmaCatCoder-next-mini-gguf:F16
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ViorikaAI-org/CalmaCatCoder-next-mini-gguf:F16
# Run inference directly in the terminal:
llama cli -hf ViorikaAI-org/CalmaCatCoder-next-mini-gguf:F16
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 ViorikaAI-org/CalmaCatCoder-next-mini-gguf:F16
# Run inference directly in the terminal:
./build/bin/llama cli -hf ViorikaAI-org/CalmaCatCoder-next-mini-gguf:F16
Use Docker
docker model run hf.co/ViorikaAI-org/CalmaCatCoder-next-mini-gguf:F16
Quick Links

Main repo:

GGUF / llama.cpp

The tokenizer has no BPE merges and a pre-tokenizer unknown to the stock converter, so convert_hf_to_gguf.py fails on it. The make_gguf.py wrapper from the code repository patches this at conversion time without modifying llama.cpp (details in its header):

git clone https://github.com/ggml-org/llama.cpp
python make_gguf.py llama.cpp CalmaCatCoder-Next-mini calmacatcoder-f16.gguf f16     # or q8_0

Because <|im_end|> is plain text, llama.cpp does not stop on it by itself. Save the ChatML prompt to a file and use a reverse prompt:

llama-completion -m calmacatcoder-f16.gguf -no-cnv --no-escape -f prompt.txt -r "<|im_end|>" -n 300 --temp 0.7 --top-k 40

A warning special_eos_id is not in special_eog_ids is expected: the model has no EOS token. Prefer f16/bf16 or q8_0; this model is so small that aggressive quantization will likely hurt it.

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