whatmodel.sh / Jais Adapted 7B Chat
Jais Adapted 7B Chat
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Jais Adapted 7B Chat is an open-weights language model from Inception (G42), released August 2024. Its published size is 7B parameters. Licence: apache-2.0.
Catalogue identity notes
Maker repo inception42/jais-adapted-7b-chat @f2de64b (requested as inceptionai/jais-adapted-7b-chat, which the HF API redirects to inception42/jais-adapted-7b-chat): licence tag apache-2.0. 7,000,561,664 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). Gated repository (licence acceptance required on Hugging Face).
$ how it compares
The LLMs ranked either side of Jais Adapted 7B Chat, out of 1132 with a score, then more from Inception (G42).
| # | model | score | where | ||
|---|---|---|---|---|---|
| 855 |  InternLM2 Chat 20B | 41±1 | local | ||
| 856 |  DeepSeek LLM 67B Chat | 41±1 | local | ||
| 857 | Jais Adapted 7B Chat | 41±4 | local | ||
| 858 |  Llama 2 70B (base) | 41±1 | local | ||
| 859 |  Mixtral 8x7B v0.1 (base) | 41±1 | 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▁▁▁▄▆▅▆█▆▆▆▂ #347 of 466 * · 93% of its score · 1 test
Beats Ministral 3 14B Reasoning 2512, Gemma 4 E4B, OpenThinker3 7B here, though they rank higher overall. Trails LFM2 350M, Flan-T5 XXL, LFM2 700M here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arabic IFEval prompt-level (Inception) lab | 22.5% ✎ | ▁·▁▁▂▁▄▄▆▄█▄ beats 12/38 | 93% |
$ where to run it
Other ways to run it
- Run it as published · needs ~28 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-adapted-7b-chat', torch_dtype='auto', device_map='auto')('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… 93%
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 | 93% |
| prior · pull toward the middle | 7% | |
| weighted average | = 40.8 |
$ 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