--- base_model: ibm-granite/granite-3.0-8b-instruct library_name: transformers fine_tuning: LORA datasets: hawky-fb-marketing-hooks license: other tags: - llama-cpp - ibm - ibm-granite - ibm-granite-8B - GGUF approach: - Data set preperation - RAG setup for Fetching Marketing Data (Meta and Google) - Create KM for the dataset too --- # Sri-Vigneshwar-DJ/ibm-granite-3.0-8b-GGUF This model was converted to GGUF format from [`granite-3.0-8b-instruct`](https://huggingface.co/ibm-granite/granite-3.0-8b-instruct) using llama.cpp Refer to the [original model card](https://huggingface.co/granite-3.0-8b-instruct) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) from [] ```bash brew install llama.cpp or !git clone https://github.com/ggerganov/llama.cpp.git ``` Invoke the llama.cpp server or the CLI. or ### CLI: ```bash ! /content/llama.cpp/llama-cli -m ./quantized_model/FP16.gguf/ibm-granite-3.0-8b-GGUF -n 90 --repeat_penalty 1.0 --color -i -r "User:" -f /content/llama.cpp/prompts/chat-with-bob.txt or llama-cli --hf-repo Sri-Vigneshwar-DJ/ibm-granite-3.0-8b-GGUF --hf-file FP16.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo Sri-Vigneshwar-DJ/ibm-granite-3.0-8b-GGUF --hf-file FP8.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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 or ''!make GGML_OPENBLAS=1' along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). ``` cd llama.cpp && LLAMA_CURL=1 make or !make GGML_OPENBLAS=1 ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo Sri-Vigneshwar-DJ/ibm-granite-3.0-8b-GGUF --hf-file FP8.gguf -p "Hi, Generate a detailed insight on 2024 Meta Campaigns" ``` or ``` ./llama-server --hf-repo Sri-Vigneshwar-DJ/ibm-granite-3.0-8b-GGUF --hf-file sFP8.gguf -c 2048 ```