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bunnycore/Phigments12-Q6_K-GGUF

Phigments12-Q6_K-GGUF is a quantized version of the liminerity/Phigments12: https://huggingface.co/liminerity/Phigments12 model. Phigments12-Q6_K-GGUF packs 2.78 billion parameters, making it a compact model that delivers high performance and decent benchmark results. This efficiency allows you to run the model on low-end laptops, phones, and even PCs without a dedicated GPU.

Several platforms support running Phigments12-Q6_K-GGUF, including:

Jan.ai
LM Studio
Text Generation Web UI

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo bunnycore/Phigments12-Q6_K-GGUF --model phigments12.Q6_K.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo bunnycore/Phigments12-Q6_K-GGUF --model phigments12.Q6_K.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m phigments12.Q6_K.gguf -n 128

This model was converted to GGUF format from liminerity/Phigments12 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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5
GGUF
Model size
2.78B params
Architecture
phi2

6-bit

Inference API
Unable to determine this model's library. Check the docs .