---
base_model: google/gemma-3-270m-it
base_model_relation: quantized
quantized_by: ArtusDev
license: gemma
tags:
- gemma3
- gemma
- google
- exl3
pipeline_tag: text-generation
library_name: transformers
---

## EXL3 Quants of google/gemma-3-270m-it

EXL3 quants of [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it) using <a href="https://github.com/turboderp-org/exllamav3/">exllamav3</a> for quantization.

### Quants
| Quant(Revision) | Bits per Weight | Head Bits |
| -------- | ---------- | --------- |
| [1.0_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/1.0bpw_H8) | 1.0 | 8 |
| [1.5_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/1.5bpw_H8) | 1.5 | 8 |
| [2.0_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/2.0bpw_H8) | 2.0 | 8 |
| [2.5_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/2.5bpw_H8) | 2.5 | 8 |
| [3.0_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/3.0bpw_H8) | 3.0 | 8 |
| [3.5_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/3.5bpw_H8) | 3.5 | 8 |
| [4.0_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/4.0bpw_H8) | 4.0 | 8 |
| [4.5_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/4.5bpw_H8) | 4.5 | 8 |
| [5.0_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/5.0bpw_H8) | 5.0 | 8 |
| [5.5_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/5.5bpw_H8) | 5.5 | 8 |
| [6.0_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/6.0bpw_H8) | 6.0 | 8 |
| [6.5_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/6.5bpw_H8) | 6.5 | 8 |
| [7.0_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/7.0bpw_H8) | 7.0 | 8 |
| [7.5_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/7.5bpw_H8) | 7.5 | 8 |
| [8.0_H8](https://huggingface.co/ArtusDev/google_gemma-3-270m-it-EXL3/tree/8.0bpw_H8) | 8.0 | 8 |

### Downloading quants with huggingface-cli

<details>
  <summary>Click to view download instructions</summary>

Install hugginface-cli:

```bash
pip install -U "huggingface_hub[cli]"
```

Download quant by targeting the specific quant revision (branch):

```
huggingface-cli download ArtusDev/google_gemma-3-270m-it-EXL3 --revision "5.0bpw_H6" --local-dir ./
```
</details>