---
base_model: google/gemma-2-9b-it
inference: false
license: gemma
library_name: transformers
pipeline_tag: text-generation
model_creator: Google
model_name: gemma-2-9b-it
quantized_by: Second State Inc.
tags:
- conversational
---

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# Gemma-2-9b-it-GGUF

## Original Model

[google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it)

## Run with LlamaEdge

- LlamaEdge version: [v0.12.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.1) and above

- Prompt template

  - Prompt type: `gemma-instruct`

  - Prompt string

    ```text
    <bos><start_of_turn>user
    {user_message}<end_of_turn>
    <start_of_turn>model
    {model_message}<end_of_turn>model
    ```

- Context size: `8192`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-2-9b-it-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template gemma-instruct \
    --ctx-size 8192 \
    --model-name gemma-2-9b
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:gemma-2-9b-it-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template gemma-instruct \
    --ctx-size 8192
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [gemma-2-9b-it-Q2_K.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q2_K.gguf)     | Q2_K   | 2 | 3.81 GB| smallest, significant quality loss - not recommended for most purposes |
| [gemma-2-9b-it-Q3_K_L.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 5.13 GB| small, substantial quality loss |
| [gemma-2-9b-it-Q3_K_M.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 4.76 GB| very small, high quality loss |
| [gemma-2-9b-it-Q3_K_S.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 4.34 GB| very small, high quality loss |
| [gemma-2-9b-it-Q4_0.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q4_0.gguf)     | Q4_0   | 4 | 5.44 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [gemma-2-9b-it-Q4_K_M.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 5.76 GB| medium, balanced quality - recommended |
| [gemma-2-9b-it-Q4_K_S.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 5.48 GB| small, greater quality loss |
| [gemma-2-9b-it-Q5_0.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q5_0.gguf)     | Q5_0   | 5 | 6.48 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [gemma-2-9b-it-Q5_K_M.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 6.65 GB| large, very low quality loss - recommended |
| [gemma-2-9b-it-Q5_K_S.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 6.48 GB| large, low quality loss - recommended |
| [gemma-2-9b-it-Q6_K.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q6_K.gguf)     | Q6_K   | 6 | 7.59 GB| very large, extremely low quality loss |
| [gemma-2-9b-it-Q8_0.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q8_0.gguf)     | Q8_0   | 8 | 9.83 GB| very large, extremely low quality loss - not recommended |
| [gemma-2-9b-it-f16.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-f16.gguf)       | f16    | 16 | 18.5 GB|  |

*Quantized with llama.cpp b3259*