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Model: second-state/CodeGemma-7b-it-GGUF
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---
base_model: google/codegemma-7b-it
inference: false
library_name: transformers
license: gemma
model_creator: Google
model_name: CodeGemma 7B (IT)
quantized_by: Second State Inc.
pipeline_tag: text-generation
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->
# CodeGemma-7b-it-GGUF
## Original Model
[google/codegemma-7b-it](https://huggingface.co/google/codegemma-7b-it)
## Run with LlamaEdge
- LlamaEdge version: [v0.8.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.8.1) 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: `3072`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:codegemma-7b-it-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template gemma-instruct \
--ctx-size 3072 \
--model-name codegemma-7b
```
<!-- - Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-7b-it-Q5_K_M.gguf llama-chat.wasm -p gemma-instruct -c 4096
``` -->
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [codegemma-7b-it-Q2_K.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q2_K.gguf) | Q2_K | 2 | 3.48 GB| smallest, significant quality loss - not recommended for most purposes |
| [codegemma-7b-it-Q3_K_L.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 4.71 GB| small, substantial quality loss |
| [codegemma-7b-it-Q3_K_M.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 4.37 GB| very small, high quality loss |
| [codegemma-7b-it-Q3_K_S.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 3.98 GB| very small, high quality loss |
| [codegemma-7b-it-Q4_0.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q4_0.gguf) | Q4_0 | 4 | 5.01 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [codegemma-7b-it-Q4_K_M.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 5.33 GB| medium, balanced quality - recommended |
| [codegemma-7b-it-Q4_K_S.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 5.05 GB| small, greater quality loss |
| [codegemma-7b-it-Q5_0.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q5_0.gguf) | Q5_0 | 5 | 5.98 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [codegemma-7b-it-Q5_K_M.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 6.14 GB| large, very low quality loss - recommended |
| [codegemma-7b-it-Q5_K_S.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 5.98 GB| large, low quality loss - recommended |
| [codegemma-7b-it-Q6_K.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q6_K.gguf) | Q6_K | 6 | 7.01 GB| very large, extremely low quality loss |
| [codegemma-7b-it-Q8_0.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-Q8_0.gguf) | Q8_0 | 8 | 9.08 GB| very large, extremely low quality loss - not recommended |
| [codegemma-7b-it-f16.gguf](https://huggingface.co/second-state/CodeGemma-7b-it-GGUF/blob/main/codegemma-7b-it-f16.gguf) | f16 | 16 | 17.1 GB| |
*Quantized with llama.cpp b2589*