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---
base_model: google/gemma-3-1b-it
inference: false
library_name: transformers
license: gemma
model_creator: Google
model_name: gemma-3-1b-it
quantized_by: Second State Inc.
pipeline_tag: text-generation
---
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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# Gemma-3-1b-it-GGUF
## Original Model
[google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it)
## Run with LlamaEdge
- LlamaEdge version: coming soon
<!-- - LlamaEdge version: [v0.13.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.13.0) 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: `128000`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-3-1b-it-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template gemma-instruct \
--ctx-size 128000 \
--model-name gemma-3-1b
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. \
--nn-preload default:GGML:AUTO:gemma-3-1b-it-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template gemma-instruct \
--ctx-size 128000
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [gemma-3-1b-it-Q2_K.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q2_K.gguf) | Q2_K | 2 | 690 MB| smallest, significant quality loss - not recommended for most purposes |
| [gemma-3-1b-it-Q3_K_L.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 752 MB| small, substantial quality loss |
| [gemma-3-1b-it-Q3_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 722 MB| very small, high quality loss |
| [gemma-3-1b-it-Q3_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 689 MB| very small, high quality loss |
| [gemma-3-1b-it-Q4_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_0.gguf) | Q4_0 | 4 | 720 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [gemma-3-1b-it-Q4_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 806 MB| medium, balanced quality - recommended |
| [gemma-3-1b-it-Q4_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 781 MB| small, greater quality loss |
| [gemma-3-1b-it-Q5_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_0.gguf) | Q5_0 | 5 | 808 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [gemma-3-1b-it-Q5_K_M.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 851 MB| large, very low quality loss - recommended |
| [gemma-3-1b-it-Q5_K_S.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 836 MB| large, low quality loss - recommended |
| [gemma-3-1b-it-Q6_K.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q6_K.gguf) | Q6_K | 6 | 1.01 GB| very large, extremely low quality loss |
| [gemma-3-1b-it-Q8_0.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-Q8_0.gguf) | Q8_0 | 8 | 1.07 GB| very large, extremely low quality loss - not recommended |
| [gemma-3-1b-it-f16.gguf](https://huggingface.co/second-state/gemma-3-1b-it-GGUF/blob/main/gemma-3-1b-it-f16.gguf) | f16 | 16 | 2.01 GB| |
*Quantized with llama.cpp b4875* |