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Hamza Shahid Malik

hamzashahid40

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updated a model about 1 month ago

Navid-AI/Yehia-7B-preview

liked a Space 4 months ago

HuggingFaceTB/smol-training-playbook

updated a Space 5 months ago

Navid-AI/README

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updated a model about 1 month ago

Navid-AI/Yehia-7B-preview

Text Generation • 7B • Updated Jan 6 • 846 • 23

liked a Space 4 months ago

The Smol Training Playbook

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The secrets to building world-class LLMs

updated a Space 5 months ago

README

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published a Space 5 months ago

README

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New activity in simplescaling/s1K 6 months ago

Update README.md

#4 opened 6 months ago by

hamzashahid40

liked a dataset 6 months ago

simplescaling/s1K

Viewer • Updated Feb 11, 2025 • 1k • 697 • 236

upvoted an article 6 months ago

Article

NVIDIA Releases 6 Million Multi-Lingual Reasoning Dataset

Aug 20, 2025

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reacted to MohamedRashad's post with ❤️ 12 months ago

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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:
Navid-AI/Yehia-7B-preview

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

Ramadan Kareem 🌙