Create README.md (#1)

- Create README.md (1b515d46bb73b2e693132f4715b238dfdce17a5c)

README.md

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+---
+inference: false
+language:
+- en
+tags:
+- gemma
+- text-generation-inference
+pipeline_tag: text-generation
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+---
+
+# Google's Gemma-2b-it GGUF
+
+These files are GGUF format model files for [Googles's Gemma-2b-it](https://huggingface.co/google/gemma-2b-it).
+
+GGUF files are for CPU + GPU inference using [llama.cpp](https://github.com/ggerganov/llama.cpp) and libraries and UIs which support this format, such as:
+* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)
+* [KoboldCpp](https://github.com/LostRuins/koboldcpp)
+* [ParisNeo/GPT4All-UI](https://github.com/ParisNeo/gpt4all-ui)
+* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
+* [ctransformers](https://github.com/marella/ctransformers)
+
+## How to run in `llama.cpp`
+
+I use the following command line, adjust for your tastes and needs:
+
+```
+./main -t 2 -ngl 18 -m gemma-2b-it.q8_0.gguf -p '<start_of_turn>user\nWhat is love?\n<end_of_turn>\n<start_of_turn>model\n' --no-penalize-nl -e --color --temp 0.95 -c 1024 -n 512 --repeat_penalty 1.2 --top_p 0.95 --top_k 50
+```
+Change `-t 2` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`.
+
+Change `-ngl 18` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
+
+If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`, you can use `--interactive-first` to start in interactive mode:
+
+```
+./main -t 2 -ngl 18 -m gemma-2b-it.q8_0.gguf --in-prefix '<start_of_turn>user\n' --in-suffix '<end_of_turn>\n<start_of_turn>model\n' -i -ins --no-penalize-nl -e --color --temp 0.95 -c 1024 -n 512 --repeat_penalty 1.2 --top_p 0.95 --top_k 50
+```
+
+## Compatibility
+
+I have uploded both the original llama.cpp quant methods (`q4_0, q4_1, q5_0, q5_1, q8_0`) as well as the k-quant methods (`q2_K, q3_K_S, q3_K_M, q3_K_L, q4_K_S, q4_K_M, q5_K_S, q6_K`).
+
+Please refer to [llama.cpp](https://github.com/ggerganov/llama.cpp) and [TheBloke](https://huggingface.co/TheBloke)'s GGUF models for further explanation.
+
+## How to run in `text-generation-webui`
+
+Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
+
+<!-- footer start -->
+## Thanks
+
+Thanks to [Google](https://huggingface.co/google) for providing checkpoints of the model.
+
+Thanks to [Georgi Gerganov](https://github.com/ggerganov) and all of the awesome people in the AI community.