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PLLuM-12B-nc-chat (2507)
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PLLuM-12B-nc-chat (2507) is an open-weights language model from PLLuM consortium (CYFRAGOVPL), released July 2025. Its published size is 12.25B parameters. Licence: other (pllum-1.1).
Catalogue identity notes
Maker repo CYFRAGOVPL/PLLuM-12b-nc-chat-2507 @025e26b (requested as CYFRAGOVPL/pllum-12b-nc-chat-250715, which the HF API redirects to CYFRAGOVPL/PLLuM-12b-nc-chat-2507): licence tag other (pllum-1.1). 12,247,802,880 parameters from the Hugging Face safetensors metadata (dense, so active = total). Released 2025-07: month the maker's Hugging Face repo was created (createdAt 2025-07-23). Gated repository (licence acceptance required on Hugging Face).
$ how it compares
The LLMs ranked either side of PLLuM-12B-nc-chat (2507), out of 1132 with a score, then more from PLLuM consortium (CYFRAGOVPL).
| # | model | score | where | ||
|---|---|---|---|---|---|
| 421 | 55±1 | api $2.40/M +local | |||
| 422 | 55±3 | comparison only | |||
| 423 | 55±4 | local | |||
| 424 | 55±4 | local | |||
| 425 | 55±1 | local | |||
| more from PLLuM consortium (CYFRAGOVPL) | |||||
| 474 | 53±3 | local | |||
| 484 | 53±4 | local | |||
| 561 | 50±4 | local | |||
$ what it's good at
other tests1 not in a task · 92% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| CPTUB average (SpeakLeash, 0-5 judge scale) | 73.3% ✎ | ▁▂▂▂▃█▃▆▅▄▂▃ beats 64/95 | 92% |
$ where to run it
Other ways to run it
- Run it as published · needs ~24.5 GB · from huggingface.co/CYFRAGOVPL
uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='CYFRAGOVPL/PLLuM-12b-nc-chat-2507', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"
Weights and documentation: huggingface.co/CYFRAGOVPL ↗
$ how the score was worked out · SpeakLeash CPTUB (Complex Pol… 92%
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
| source | results | share of the score |
|---|---|---|
| 1 | 92% | |
| prior · pull toward the middle | 8% | |
| weighted average | = 54.9 |
$ improve this page
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