https://huggingface.co/speakleash/Bielik-11B-v3.1-Instruct-GGUF https://www.bielik.ai/blog/premiera-modeli-bielik-11b-v31-dflash-i-rodziny-bielik-one (decision models and dflash are coming next) Bielik-11B-v3.1-Instruct Bielik-11B-v3.1-Instruct is a generative text model featuring 11 billion parameters. It is an update to the Bielik 11B v3 line that expands multilingual continual pre-training and strengthens post-training for instruction following, tool use, and reasoning. Forementioned model stands as a testament to the unique collaboration between the open-science/open-source project SpeakLeash and the High Performance Computing (HPC) center: ACC Cyfronet AGH. Developed and trained on multilingual text corpora covering 56 languages, with an emphasis on European languages and Polish, which have been cherry-picked and processed by the SpeakLeash team, this endeavor leverages Polish large-scale computing infrastructure of the ACC Cyfronet AGH HPC center. The creation and training of Bielik-11B-v3.1-Instruct was propelled by resources provided within the PLGrid environment under computational grant number [PLG/2026/019559], conducted on the Athena and Helios supercomputers, and within the Gaia AI Factory, funded by the European Union through the EuroHPC Joint Undertaking. As a result, the model exhibits an exceptional ability to understand and process the Polish language and other European languages, providing accurate responses and performing a variety of linguistic tasks with high precision. 🗣️ Chat: https://chat.bielik.ai/ Model The model was trained on carefully curated, high-quality datasets that underwent extensive cleaning and rigorous quality assessment to ensure data consistency, reliability, and relevance. The training pipeline consisted of three stages: pretraining on 500B tokens, SFT on 26M samples, and RL (modified GRPO) across 14 diverse environments. This multi-stage training approach was designed to enhance the model's language understanding, instruction-following capabilities, and ability to perform effectively across a broad range of tasks. Bielik instruct models have been trained with the use of an original open source framework called ALLaMo implemented by Krzysztof Ociepa. Model description: Developed by: SpeakLeash & ACC Cyfronet AGH Language: Multilingual (56 unique languages, optimized for European languages, with a particular focus on Polish) Model type: causal decoder-only License: Apache 2.0   submitted by   /u/jacek2023 [link]   [comments]