whatmodel.sh / PersianMind v1.0

PersianMind v1.0

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PersianMind v1.0 is an open-weights language model from University of Tehran, released January 2024. Its published size is 6.82B parameters. Licence: cc-by-nc-sa-4.0.

Catalogue identity notes

Maker repo universitytehran/PersianMind-v1.0 @af603ee: licence tag cc-by-nc-sa-4.0. 6,816,323,584 parameters from the Hugging Face safetensors metadata (dense, so active = total). Released 2024-01: month the maker's Hugging Face repo was created (createdAt 2024-01-03).

34.6±4.9#809 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 PersianMind v1.0, out of 1132 with a score.

#	model	score	where	RAM	released
974	Granite 3.0 3B-A800M Instruct IBM	35±1	local	~3.7GB	2024-10
975	DeepSeek LLM 7B Chat DeepSeek	35±2	local	~5.7GB	2023-11
976	PersianMind v1.0 University of Tehran	35±5	local	~5.8GB	2024-01
977	StarCoder 15.5B BigCode	35±1	local	~11GB	2023-04
978	Granite 3.1 3B-A800M Instruct IBM	35±2	local	~3.6GB	2024-12

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

test	result	vs the others in its run	difficulty	counts	why
Open Persian LLM Leaderboard v2 average (21 tasks)	37.1% ✎	▂▄▂▃█▄▃▆▃▅▂▂ beats 11/81	medium · avg 58%	▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 89%	blunt · at its level

$ where to run it

llama.cpp · recommended

version

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 ↗
Run PersianMind v1.0 · needs ~4.1 GB · from huggingface.co/mradermacher
chat in the terminal
llama cli -hf mradermacher/PersianMind-v1.0-GGUF:Q4_K_M
Or start a local server and open the address it prints (http://localhost:9931)
llama serve -hf mradermacher/PersianMind-v1.0-GGUF:Q4_K_M

LM Studio

version

Install LM Studio · Open the app once before using the lms command.
download it (macOS / Windows / Linux) ↗
Run PersianMind v1.0 · needs ~4.1 GB · from huggingface.co/mradermacher
open in LM Studio ↗
Or download it in the terminal
lms get https://huggingface.co/mradermacher/PersianMind-v1.0-GGUF@Q4_K_M -y
Then run lms ls to see its name, and lms chat followed by that name

Ollama

version

Install Ollama
download it (macOS / Windows) ↗
Linux
curl -fsSL https://ollama.com/install.sh | sh
Run PersianMind v1.0 · needs ~4.1 GB · from huggingface.co/mradermacher
chat in the terminal
ollama run hf.co/mradermacher/PersianMind-v1.0-GGUF:Q4_K_M

Other ways to run it

Run it as published · needs ~13.63 GB · from huggingface.co/universitytehran (official)
uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='universitytehran/PersianMind-v1.0', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"

Official weights and documentation: huggingface.co/universitytehran ↗

$ 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	licence
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		= 34.6

$ improve this page

Update model information Add a place to run it Add a test result Propose a benchmark Correct a benchmark score Edit 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 2026-10-11 02:20 UTC · sources and licences · json