Create README.md

README.md

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+---
+base_model:
+- vicuna-7b-v1.5
+- lmsys/vicuna-7b-v1.5
+library_name: transformers
+license: other
+tags:
+- llama-cpp
+- vicuna
+- vicuna-7b-v1.5
+- vicuna-7b
+- GGUF
+---
+
+# Sri-Vigneshwar-DJ/hawky-ai-vicuna-7b-v1.5-GGUF
+This model was converted to GGUF format from [`google/gemma-2-9b`](https://huggingface.co/google/gemma-2-9b) using llama.cpp
+Refer to the [original model card](https://huggingface.co/google/gemma-2-9b) 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.
+
+### CLI:
+```bash
+! /content/llama.cpp/llama-cli -m ./marketing/FP16.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/hawky-ai-vicuna-7b-v1.5-GGUF --hf-file FP8.gguf -p "Write content for 'Facebook Post - About AI'"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Sri-Vigneshwar-DJ/hawky-ai-vicuna-7b-v1.5-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/hawky-ai-vicuna-7b-v1.5-GGUF --hf-file FP8.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Sri-Vigneshwar-DJ/hawky-ai-vicuna-7b-v1.5-GGUF --hf-file sFP8.gguf -c 2048
+```