whatmodel.sh / Bielik 11B v2.2 Instruct

Bielik 11B v2.2 Instruct

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Bielik 11B v2.2 Instruct is an open-weights language model from SpeakLeash, released August 2024. Its published size is 11.17B parameters. Licence: apache-2.0.

Catalogue identity notes

Maker repo speakleash/Bielik-11B-v2.2-Instruct @44d2ba3: licence tag apache-2.0. 11,168,796,672 parameters from the Hugging Face safetensors metadata (dense, so active = total). Released 2024-08: month the maker's Hugging Face repo was created (createdAt 2024-08-26). Gated repository (licence acceptance required on Hugging Face).

52.0±2.8#313 of 719 LLMsfrom 3 benchmark results across 3 sources

$ how it compares

The LLMs ranked either side of Bielik 11B v2.2 Instruct, out of 828 with a score, then more from SpeakLeash.

#modelscorewhereRAMreleased
377GLM-4 (0520) Z.ai52±1comparison only2024-05
378ERNIE 4.5 21B-A3B Baidu52±1comparison only2025-06
379Bielik 11B v2.2 Instruct SpeakLeash52±3local~8.5GB2024-08
380Granite 4.0 H Small (32B-A9B) IBM52±1api $0.11/M +local~21GB2025-09
381Llama 3.1 Nemotron 70B Instruct NVIDIA52±1local~43GB2024-10
more from SpeakLeash
325Bielik 11B v3.0 Instruct SpeakLeash55±2local~8.1GB2025-11
338Bielik 11B v2.6 Instruct SpeakLeash54±3local~8.1GB2025-06
371Bielik 11B v2.1 Instruct SpeakLeash53±3local~8.5GB2024-08

see all LLMs · find the ones that fit your machine

$ what it's good at

other tests3 not in a task · 96% of its score
testresultvs the others in its rundifficultycountswhy
CPTUB average (SpeakLeash, 0-5 judge scale) lab69.1% ✎▁▂▂▂▃█▃▆▅▄▂▃ beats 51/95easy · avg 66%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 45%at its level
Polish EQ-Bench v2 (SpeakLeash) lab69.0% ✎▁··▁▁▂▂▆▅▆█▆ beats 50/70medium · avg 64%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 36%at its level
Open PT-LLM Leaderboard average (9 Portuguese tasks)73.5% ✎▃▁▁▁▁▁▁▁▂█▅▁ beats 207/276medium · avg 73%▇▇▇▇▇▇ 15%at its level · noisy

$ where to run it

llama.cpp · recommended

version

  1. Install llama.cpp · Homebrew and winget installs name the commands llama-cli and llama-server instead.
    macOS / Linux
    curl -LsSf https://llama.app/install.sh | sh
    Windows
    irm https://llama.app/install.ps1 | iex

    other ways to install ↗

  2. Run Bielik 11B v2.2 Instruct · needs ~6.7 GB · from huggingface.co/speakleash (official)
    chat in the terminal
    llama cli -hf speakleash/Bielik-11B-v2.2-Instruct-GGUF:Q4_K_M
  3. Or start a local server and open the address it prints (http://localhost:9931)
    llama serve -hf speakleash/Bielik-11B-v2.2-Instruct-GGUF:Q4_K_M

LM Studio

version

  1. Install LM Studio · Open the app once before using the lms command.

    download it (macOS / Windows / Linux) ↗

  2. Run Bielik 11B v2.2 Instruct · needs ~6.7 GB · from huggingface.co/speakleash (official)

    open in LM Studio ↗

  3. Or download it in the terminal
    lms get https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct-GGUF@Q4_K_M -y
  4. Then run lms ls to see its name, and lms chat followed by that name

Ollama

version

  1. Install Ollama

    download it (macOS / Windows) ↗

    Linux
    curl -fsSL https://ollama.com/install.sh | sh
  2. Run Bielik 11B v2.2 Instruct · needs ~6.7 GB · from huggingface.co/speakleash (official)
    chat in the terminal
    ollama run hf.co/speakleash/Bielik-11B-v2.2-Instruct-GGUF:Q4_K_M

Other ways to run it

  1. Run it as published · needs ~22.34 GB · from huggingface.co/speakleash (official)
    uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='speakleash/Bielik-11B-v2.2-Instruct', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"

Official weights and documentation: huggingface.co/speakleash ↗

$ how the score was worked out · SpeakLeash CPTUB (Complex Pol… 45%, SpeakLeash Polish EQ-Bench le… 36%, Open Portuguese LLM Leaderboa… 15%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
SpeakLeash CPTUB (Complex Polish Text Understanding Benchmark) · lab-reported1▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 45%MIT
SpeakLeash Polish EQ-Bench leaderboard · lab-reported1▇▇▇▇▇▇▇▇▇▇▇ 36%Apache-2.0
Open Portuguese LLM Leaderboard (archived)1▇▇▇▇ 15%Apache-2.0
prior · pull toward the middle▇ 4%
weighted average= 52.0

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json