whatmodel.sh / Maral-7B-alpha-1

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).

31.7±5.0#843 of 949 LLMsfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

$ how it compares

The LLMs ranked either side of Maral-7B-alpha-1, out of 1132 with a score.

#modelscorewhereRAMreleased
1012Ghost 7B Alpha Ghost X32±2local~6.1GB2024-04
1013CodeGemma 2B (v1.0) Google32±1local~3.2GB2024-03
1014Maral-7B-alpha-1 MaralGPT32±5local~17GB2023-12
1015Qwen-7B (base) Alibaba32±1local~6.6GB2023-08
1016Phi-1.5 (1.3B) Microsoft32±1local~2.4GB2023-09

see all LLMs · find the ones that fit your machine

$ what it's good at

other tests1 not in a task · 89% of its score
testresultvs the others in its rundifficultycountswhy
Open Persian LLM Leaderboard v2 average (21 tasks)33.4% ✎▂▄▂▃█▄▃▆▃▅▂▂ beats 5/81medium · avg 58%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 89%blunt · at its level

$ where to run it

Other ways to run it

  1. 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

sourceresultsshare of the scorelicence
Open Persian LLM Leaderboard v2 (Part DP AI and AUT NLP Lab)1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 89%Apache-2.0
prior · pull toward the middle▇▇▇ 11%
weighted average= 31.7

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data updated · sources and licences · json