|
--- |
|
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 [Google'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. |
