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M Asad Iqbal

MAsad789565
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replied to MohamedRashad's post 9 days ago
I think we have released the best Arabic model under 25B at least based on https://huggingface.co/spaces/inceptionai/AraGen-Leaderboard Yehia = https://huggingface.co/ALLaM-AI/ALLaM-7B-Instruct-preview + GRPO and its ranked number one model under the 25B parameter size mark. Now, i said "i think" not "i am sure" because this model used the same metric of evaluation the AraGen developers use (the 3C3H) as a reward model to improve its responses and this sparks the question. Is this something good for users or is it another type of overfitting that we don't want ? I don't know if this is a good thing or a bad thing but what i know is that you can try it from here: https://huggingface.co/spaces/Navid-AI/Yehia-7B-preview or Download it for your personal experiments from here: https://huggingface.co/Navid-AI/Yehia-7B-preview Ramadan Kareem 🌙
reacted to MohamedRashad's post with ❤️ 9 days ago
I think we have released the best Arabic model under 25B at least based on https://huggingface.co/spaces/inceptionai/AraGen-Leaderboard Yehia = https://huggingface.co/ALLaM-AI/ALLaM-7B-Instruct-preview + GRPO and its ranked number one model under the 25B parameter size mark. Now, i said "i think" not "i am sure" because this model used the same metric of evaluation the AraGen developers use (the 3C3H) as a reward model to improve its responses and this sparks the question. Is this something good for users or is it another type of overfitting that we don't want ? I don't know if this is a good thing or a bad thing but what i know is that you can try it from here: https://huggingface.co/spaces/Navid-AI/Yehia-7B-preview or Download it for your personal experiments from here: https://huggingface.co/Navid-AI/Yehia-7B-preview Ramadan Kareem 🌙
liked a dataset 3 months ago
TuneIt/o1-python
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replied to MohamedRashad's post 9 days ago
reacted to MohamedRashad's post with ❤️ 9 days ago
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I think we have released the best Arabic model under 25B at least based on inceptionai/AraGen-Leaderboard

Yehia = ALLaM-AI/ALLaM-7B-Instruct-preview + GRPO

and its ranked number one model under the 25B parameter size mark.

Now, i said "i think" not "i am sure" because this model used the same metric of evaluation the AraGen developers use (the 3C3H) as a reward model to improve its responses and this sparks the question. Is this something good for users or is it another type of overfitting that we don't want ?

I don't know if this is a good thing or a bad thing but what i know is that you can try it from here:
Navid-AI/Yehia-7B-preview

or Download it for your personal experiments from here:
Navid-AI/Yehia-7B-preview

Ramadan Kareem 🌙
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NEW: Open Source Text/ Image to video model is out - MIT licensed - Rivals Gen-3, Pika & Kling 🔥

> Pyramid Flow: Training-efficient Autoregressive Video Generation method
> Utilizes Flow Matching
> Trains on open-source datasets
> Generates high-quality 10-second videos
> Video resolution: 768p
> Frame rate: 24 FPS
> Supports image-to-video generation

> Model checkpoints available on the hub 🤗: rain1011/pyramid-flow-sd3
updated a dataset 8 months ago
liked 8 datasets 8 months ago