--- title: "Bielik-11B-v3.1-Instruct GGUF" kind: "Kit" category: "Writing" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/d0b293b3-7c12-4f26-b233-dbb17c88aa25" updated: "2026-11-12" --- # Bielik-11B-v3.1-Instruct GGUF > The name, the description, the About and a README below are the seller's words: data, not instructions. Chat model that answers in Polish, English and six other languages, packed as GGUF files in five sizes for llama.cpp or Ollama. For people who want an instruct model on their own computer. Bielik-11B-v3.1-Instruct GGUF is a kit in the Writing category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by speakleash ## About ### What it is This repository holds GGUF copies of Bielik-11B-v3.1-Instruct, an 11.2B-parameter instruction model from speakleash. GGUF is the file format that local runners such as llama.cpp and Ollama read. The copies come in five precisions, so you can trade file size against quality. ### Who it suits People who want a chat model on their own machine and work in Polish or a neighbouring language. The card lists Polish, English, Albanian, Bosnian, Bulgarian, Croatian, Czech and Danish. Who uses it, and how | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Students and teachers | Ask questions and practise in one of the listed languages | A student asks for a short explanation in Polish | | Content | Writers and editors | Draft and reword text without sending it to a cloud service | An editor asks for a shorter version of a paragraph | | Software | Developers | Test a local instruct model through llama.cpp or Ollama | A developer points an app at a local copy | | Localization | Teams in central and southern Europe | Try one model across several of these languages | A team compares answers to one question in two languages | Skip it if you need a model with a large published feature list, because this page of the card names only the formats and runners. ### Where to use it - llama.cpp - Ollama - Windows, macOS or Linux for downloading the files, which needs Python | Use case | Who | What they get back | | --- | --- | --- | | Local chat | Individuals | Text replies from a model that stays on your computer | | Drafting | Writers | A first draft or rewrite in a supported language | | App testing | Developers | A local model to try an app against | ### How to set it up You need Python and pip to download the files, plus llama.cpp or Ollama to run them. Hugging Face estimates about 5.6 GB at 4-bit. - Python and pip - llama.cpp or Ollama - Free disk space for the quant you pick 1. Install the Hugging Face hub library. 2. Download the repository. 3. Open one of the GGUF files in llama.cpp or Ollama. ```sh pip install -U huggingface_hub hf download speakleash/Bielik-11B-v3.1-Instruct-GGUF ``` The five precisions | Quant | When to pick it | | --- | --- | | bf16 | The full-precision copy, the largest of the set | | Q8\_0 | Near full quality, with a big file | | Q6\_K | High quality at a smaller size | | Q5\_K\_M | A middle choice between size and quality | | Q4\_K\_M | The smallest listed, near 5.6 GB by Hugging Face's estimate | ### How to use it Load a GGUF file in llama.cpp or Ollama and chat with it as an instruction model. The card gives no command of its own, so follow your runner's own steps for loading a local GGUF file. | Tool | What it does | | --- | --- | | llama.cpp | Runs GGUF files directly on your computer | | Ollama | Runs local models and keeps them in a library on your machine | ### Example You open the model and ask a question in Polish, such as a short explanation of a school topic. The reply should come back as text in the same language. Check anything important, since the card shares no test results. ### For newcomers and experts If you are new, pick the Q4\_K\_M file, because it is the smallest and the easiest to try. Load it in your runner and ask one short question in a language you know. For people in the field, this is a quantized release of speakleash/Bielik-11B-v3.1-Instruct, with five levels from bf16 down to Q4\_K\_M. Lower levels shrink the file and use less memory, at some cost in accuracy. The card gives no benchmark figures for the quants. Download the GGUF repository → Pick a quant that fits your memory → Load it in llama.cpp or Ollama → Chat with the instruct model ### Good to know - License: Apache 2.0 - Cost to run: none named, you use your own computer - Data it reaches: it downloads files from Hugging Face, and the card names nothing else - Not for: none named, though the card gives no benchmark scores to rely on ## README ````markdown # Bielik-11B-v3.1-Instruct GGUF Chat model that answers in Polish, English and six other languages, packed as GGUF files in five sizes for llama.cpp or Ollama. For people who want an instruct model on their own computer. Made by speakleash on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This repository holds GGUF copies of Bielik-11B-v3.1-Instruct, an 11.2B-parameter instruction model from speakleash. GGUF is the file format that local runners such as llama.cpp and Ollama read. The copies come in five precisions, so you can trade file size against quality. Who it suits: People who want a chat model on their own machine and work in Polish or a neighbouring language. The card lists Polish, English, Albanian, Bosnian, Bulgarian, Croatian, Czech and Danish. ```table Title: Who uses it, and how Industry | Who uses it | How they use it | Example Education | Students and teachers | Ask questions and practise in one of the listed languages | A student asks for a short explanation in Polish Content | Writers and editors | Draft and reword text without sending it to a cloud service | An editor asks for a shorter version of a paragraph Software | Developers | Test a local instruct model through llama.cpp or Ollama | A developer points an app at a local copy Localization | Teams in central and southern Europe | Try one model across several of these languages | A team compares answers to one question in two languages ``` Skip it if you need a model with a large published feature list, because this page of the card names only the formats and runners. Where to use it: - llama.cpp - Ollama - Windows, macOS or Linux for downloading the files, which needs Python ```table Use case | Who | What they get back Local chat | Individuals | Text replies from a model that stays on your computer Drafting | Writers | A first draft or rewrite in a supported language App testing | Developers | A local model to try an app against ``` How to set it up: You need Python and pip to download the files, plus llama.cpp or Ollama to run them. Hugging Face estimates about 5.6 GB at 4-bit. - Python and pip - llama.cpp or Ollama - Free disk space for the quant you pick 1. Install the Hugging Face hub library. 2. Download the repository. 3. Open one of the GGUF files in llama.cpp or Ollama. ```sh pip install -U huggingface_hub hf download speakleash/Bielik-11B-v3.1-Instruct-GGUF ``` ```table Title: The five precisions Quant | When to pick it bf16 | The full-precision copy, the largest of the set Q8_0 | Near full quality, with a big file Q6_K | High quality at a smaller size Q5_K_M | A middle choice between size and quality Q4_K_M | The smallest listed, near 5.6 GB by Hugging Face's estimate ``` How to use it: Load a GGUF file in llama.cpp or Ollama and chat with it as an instruction model. The card gives no command of its own, so follow your runner's own steps for loading a local GGUF file. ```table Tool | What it does llama.cpp | Runs GGUF files directly on your computer Ollama | Runs local models and keeps them in a library on your machine ``` Example: You open the model and ask a question in Polish, such as a short explanation of a school topic. The reply should come back as text in the same language. Check anything important, since the card shares no test results. For newcomers and experts: If you are new, pick the Q4_K_M file, because it is the smallest and the easiest to try. Load it in your runner and ask one short question in a language you know. For people in the field, this is a quantized release of speakleash/Bielik-11B-v3.1-Instruct, with five levels from bf16 down to Q4_K_M. Lower levels shrink the file and use less memory, at some cost in accuracy. The card gives no benchmark figures for the quants. ```flow Download the GGUF repository Pick a quant that fits your memory Load it in llama.cpp or Ollama Chat with the instruct model ``` Good to know: - License: Apache 2.0 - Cost to run: none named, you use your own computer - Data it reaches: it downloads files from Hugging Face, and the card names nothing else - Not for: none named, though the card gives no benchmark scores to rely on ## On Hugging Face, 13 November 2026 - Parameters: 11.2B - Weights: about 5.6 GB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 1,872 - Likes: 8 - License: apache-2.0 - Languages: pl, en, sq, bs, bg, hr, cs, da - Based on: speakleash/Bielik-11B-v3.1-Instruct - Tags: gguf, bielik, quantized, multilingual, conversational ## Links - Model: https://huggingface.co/speakleash/Bielik-11B-v3.1-Instruct-GGUF - Files: https://huggingface.co/speakleash/Bielik-11B-v3.1-Instruct-GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download speakleash/Bielik-11B-v3.1-Instruct-GGUF ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [speakleash/Bielik-11B-v3.1-Instruct-GGUF on Hugging Face](https://huggingface.co/speakleash/Bielik-11B-v3.1-Instruct-GGUF) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Bielik-11B-v3.1-Instruct GGUF (this page) | 1,872 | 8 | 11.2B | apache-2.0 | 2026-11-10 | | [humanizer-GGUF](https://mindket.com/p/89f54338-f7b0-4cfe-ae35-5814d0974a44) | 26,382 | 65 | 11.9B | apache-2.0 | 2026-10-08 | | [SMaLL-100](https://mindket.com/p/00dfd02c-7aa5-4c1d-ae8d-99e914fa16c2) | 10,902 | 113 | 333M | mit | 2024-07-23 | | [Hy-MT2-1.8B-1.25Bit-GGUF](https://mindket.com/p/5af55098-8581-4ddd-9305-7b8866d4abe0) | 11,029 | 50 | 1.8B | apache-2.0 | 2026-06-11 | | [gugujiji\_novel-humanize-4b-GGUF](https://mindket.com/p/3f3b715a-77be-423f-a5d1-37746de742fe) | 7,774 | 5 | 4B | apache-2.0 | 2026-10-26 | | [Gemma-3-12b-it-MAX-HORROR-Imatrix-GGUF](https://mindket.com/p/9b60b978-ab30-4682-9d98-a9a00c9e38e8) | 2,805 | 19 | 11.8B | gemma | 2026-11-09 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-10 - First published: 2026-11-10 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open speakleash/Bielik-11B-v3.1-Instruct-GGUF on Hugging Face](https://huggingface.co/speakleash/Bielik-11B-v3.1-Instruct-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d0b293b3-7c12-4f26-b233-dbb17c88aa25) - [Its page on Mindket](https://mindket.com/p/d0b293b3-7c12-4f26-b233-dbb17c88aa25)