---
language:
- pl
license: apache-2.0
library_name: transformers
tags:
- finetuned
- gguf
inference: false
pipeline_tag: text-generation
base_model: speakleash/Bielik-1.5B-v3.0-Instruct
---
<p align="center">
  <img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png">
</p>

# Bielik-1.5B-v3.0-Instruct-MLX-8bit
This model was converted to MLX format from [SpeakLeash](https://speakleash.org/)'s [Bielik-1.5B-v3.0-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct).

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

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("speakleash/Bielik-1.5B-v3.0-Instruct-MLX-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```

### 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-1.5B-v3.0-Instruct](https://huggingface.co/speakleash/Bielik-1.5B-v3.0-Instruct)
* **Finetuned from:** [Bielik-1.5B-v3](https://huggingface.co/speakleash/Bielik-1.5B-v3)
* **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).