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Trurl 2 13B Academic

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Trurl 2 13B Academic is an open-weights language model from Voicelab, released September 2023.

Catalogue identity notes

Maker repo Voicelab/trurl-2-13b-academic @cdbd008: no licence tag on the card. Released 2023-09: month the maker's Hugging Face repo was created (createdAt 2023-09-18).

35.6±2.9#797 of 949 LLMsfrom 2 benchmark results across 2 sources* thinly tested, treat the rank as provisional

$ how it compares

The LLMs ranked either side of Trurl 2 13B Academic, out of 1132 with a score.

#modelscorewhereRAMreleased
961xDAN-L1-Chat-RL-v1 xDAN-AI36±1local~6.1GB2023-12
962Llama 3 8B (base) Meta36±1local~6.6GB2024-04
963Trurl 2 13B Academic Voicelab36±3local~29GB2023-09
964PlatoLM-7B FreedomIntelligence (CUHK-SZ)36±2local~30GB2023-08
965Mistral 7B v0.1 (base) Mistral AI36±0local~5.8GB2023-09

see all LLMs · find the ones that fit your machine

$ what it's good at

other tests2 not in a task · 96% of its score
testresultvs the others in its rundifficultycountswhy
CPTUB average (SpeakLeash, 0-5 judge scale)46.2% ✎▁▂▂▃▃█▃▆▅▄▂▃ beats 13/95easy · avg 66%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 56%at its level
Polish EQ-Bench v2 (SpeakLeash)25.9% ✎▁··▁▁▃▂▆▅▆█▆ beats 5/70medium · avg 64%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 40%at its level

$ where to run it

Other ways to run it

  1. Run it as published · needs ~26.03 GB · from huggingface.co/Voicelab (official)
    uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='Voicelab/trurl-2-13b-academic', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"

Official weights and documentation: huggingface.co/Voicelab ↗

$ how the score was worked out · SpeakLeash CPTUB (Complex Pol… 56%, SpeakLeash Polish EQ-Bench le… 40%

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)1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 56%MIT
SpeakLeash Polish EQ-Bench leaderboard1▇▇▇▇▇▇▇▇▇▇▇▇ 40%Apache-2.0
prior · pull toward the middle▇ 4%
weighted average= 35.6

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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