whatmodel.sh / Maral-7B-alpha-1
Maral-7B-alpha-1
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Maral-7B-alpha-1 is an open-weights language model from MaralGPT, released December 2023. Its published size is 7.24B parameters. Licence: mit.
Catalogue identity notes
Maker repo MaralGPT/Maral-7B-alpha-1 @2ab5ca2: licence tag mit. 7,241,732,096 parameters from the Hugging Face safetensors metadata (dense, so active = total). Released 2023-12: month the maker's Hugging Face repo was created (createdAt 2023-12-24).
$ how it compares
The LLMs ranked either side of Maral-7B-alpha-1, out of 1132 with a score.
| # | model | score | where |
|---|---|---|---|
| 1012 | 32±2 | local | |
| 1013 | 32±1 | local | |
| 1014 | 32±5 | local | |
| 1015 | 32±1 | local | |
| 1016 | 32±1 | local |
$ what it's good at
other tests1 not in a task · 89% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Open Persian LLM Leaderboard v2 average (21 tasks) | 33.4% ✎ | ▂▄▂▃█▄▃▆▃▅▂▂ beats 5/81 | 89% |
$ where to run it
Other ways to run it
- Run it as published · needs ~14.48 GB · from huggingface.co/MaralGPT (official)
uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='MaralGPT/Maral-7B-alpha-1', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"
Official weights and documentation: huggingface.co/MaralGPT ↗
$ how the score was worked out · Open Persian LLM Leaderboard… 89%
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 | 89% | |
| prior · pull toward the middle | 11% | |
| weighted average | = 31.7 |
$ 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