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--- |
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language: |
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- pl |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- finetuned |
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- gguf |
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- 4bit |
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inference: false |
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pipeline_tag: text-generation |
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base_model: speakleash/Bielik-11B-v2.2-Instruct |
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--- |
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<p align="center"> |
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<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png"> |
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</p> |
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# Bielik-11B-v2.2-Instruct-Quanto-4bit |
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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). |
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**DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations!** |
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## About Quanto |
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Optimum Quanto is a pytorch quantization backend for optimum. Model can be loaded using: |
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``` |
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from optimum.quanto import QuantizedModelForCausalLM |
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qmodel = QuantizedModelForCausalLM.from_pretrained('speakleash/Bielik-11B-v2.2-Instruct-Quanto-4bit') |
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``` |
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### Model description: |
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* **Developed by:** [SpeakLeash](https://speakleash.org/) & [ACK Cyfronet AGH](https://www.cyfronet.pl/) |
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* **Language:** Polish |
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* **Model type:** causal decoder-only |
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* **Quant from:** [Bielik-11B-v2.2-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct) |
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* **Finetuned from:** [Bielik-11B-v2](https://huggingface.co/speakleash/Bielik-11B-v2) |
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* **License:** Apache 2.0 and [Terms of Use](https://bielik.ai/terms/) |
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### Responsible for model quantization |
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* [Remigiusz Kinas](https://www.linkedin.com/in/remigiusz-kinas/)<sup>SpeakLeash</sup> - team leadership, conceptualizing, calibration data preparation, process creation and quantized model delivery. |
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## Contact Us |
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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). |
