Plano-Orchestrator-4B-Q8_0-GGUF/README.md

license, license_name, license_link, base_model, language, pipeline_tag, tags

license	license_name	license_link	base_model	language	pipeline_tag	tags
other	katanemo-research	https://huggingface.co/katanemo/Plano-Orchestrator-4B/blob/main/LICENSE	katanemo/Plano-Orchestrator-4B	en	text-generation	llama-cpp gguf-my-repo

i6od/Plano-Orchestrator-4B-Q8_0-GGUF

This model was converted to GGUF format from katanemo/Plano-Orchestrator-4B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo i6od/Plano-Orchestrator-4B-Q8_0-GGUF --hf-file plano-orchestrator-4b-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo i6od/Plano-Orchestrator-4B-Q8_0-GGUF --hf-file plano-orchestrator-4b-q8_0.gguf -c 2048

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

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo i6od/Plano-Orchestrator-4B-Q8_0-GGUF --hf-file plano-orchestrator-4b-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo i6od/Plano-Orchestrator-4B-Q8_0-GGUF --hf-file plano-orchestrator-4b-q8_0.gguf -c 2048