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Jais Family 590M Chat
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Jais Family 590M Chat is an open-weights language model from Inception (G42), released August 2024. Its published size is 0.77B parameters. Licence: apache-2.0.
Catalogue identity notes
Maker repo inception42/jais-family-590m-chat @90ac476 (requested as inceptionai/jais-family-590m-chat, which the HF API redirects to inception42/jais-family-590m-chat): licence tag apache-2.0. 771,102,732 parameters from the Hugging Face safetensors metadata (dense, so active = total). Released 2024-08: month the maker's Hugging Face repo was created (createdAt 2024-08-02).
$ how it compares
The LLMs ranked either side of Jais Family 590M Chat, out of 1132 with a score, then more from Inception (G42).
| # | model | score | where | ||
|---|---|---|---|---|---|
| 1007 |  Gemma 7B IT | 32±1 | local | ||
| 1008 |  Mistral 7B Instruct v0.1 | 32±1 | local | ||
| 1009 | Jais Family 590M Chat | 32±6 | local | ||
| 1010 |  Qwen1.5 4B Chat | 32±2 | local | ||
| 1011 |  InternLM2.5 1.8B Chat | 32±7 | local | ||
| more from Inception (G42) | |||||
| 323 | Jais 2 70B Chat | 59±4 | comparison only | ||
| 537 | Jais 2 8B Chat | 51±5 | comparison only | ||
| 713 | Jais Family 30B 16K Chat | 46±3 | local | ||
$ what it's good at
chat & writing▁▁▁▄▆▅▆█▆▆▆▂ #428 of 466 * · 86% of its score · 1 test
Beats Gemma 4 E2B, Code Llama 70B Instruct, Phi-2 (2.7B) here, though they rank higher overall. Trails Gemma 3 270M IT, SmolLM2 360M Instruct, Granite 4.0 350M here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arabic IFEval prompt-level (Inception) lab | 6.7% ✎ | ▁·▁▁▃▁▄▄▆▄█▄ beats 4/38 | 86% |
$ where to run it
Other ways to run it
- Run it as published · needs ~3.08 GB · from huggingface.co/inception42 (official)
uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='inception42/jais-family-590m-chat', torch_dtype='auto', device_map='auto', trust_remote_code=True)('Once upon a time', max_new_tokens=40)[0]['generated_text'])"
Official weights and documentation: huggingface.co/inception42 ↗
$ how the score was worked out · Inception Arabic/Hindi leader… 86%
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 |
|---|---|---|
 Inception Arabic/Hindi leaderboards (AraGen-v3, HindiGen-v1, Arabic IFEval) · lab-reported | 1 | 86% |
| prior · pull toward the middle | 14% | |
| weighted average | = 32.0 |
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