---
language:
- pl
license: apache-2.0
library_name: transformers
tags:
- finetuned
- gguf
- 4bit
inference: false
pipeline_tag: text-generation
base_model: speakleash/Bielik-11B-v2.2-Instruct
---
<p align="center">
  <img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png">
</p>

# Bielik-11B-v2.2-Instruct-Quanto-4bit
This model was converted to Quanto format from [SpeakLeash](https://speakleash.org/)'s [Bielik-11B-v.2.2-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct).

**DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations!**

## About Quanto
Optimum Quanto is a pytorch quantization backend for optimum. Model can be loaded using: 

```
from optimum.quanto import QuantizedModelForCausalLM

qmodel = QuantizedModelForCausalLM.from_pretrained('speakleash/Bielik-11B-v2.2-Instruct-Quanto-4bit')
```

### Model description:

* **Developed by:** [SpeakLeash](https://speakleash.org/) & [ACK Cyfronet AGH](https://www.cyfronet.pl/)
* **Language:** Polish
* **Model type:** causal decoder-only
* **Quant from:** [Bielik-11B-v2.2-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct)
* **Finetuned from:** [Bielik-11B-v2](https://huggingface.co/speakleash/Bielik-11B-v2)
* **License:** Apache 2.0 and [Terms of Use](https://bielik.ai/terms/)

### Responsible for model quantization  
* [Remigiusz Kinas](https://www.linkedin.com/in/remigiusz-kinas/)<sup>SpeakLeash</sup> - team leadership, conceptualizing, calibration data preparation, process creation and quantized model delivery.

## Contact Us

If you have any questions or suggestions, please use the discussion tab. If you want to contact us directly, join our [Discord SpeakLeash](https://discord.gg/CPBxPce4).