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Javedalam
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https://jalam1001.github.io/bio/

AI & ML interests

Ai user, tester, and developer of open source ai based applications.

Recent Activity

upvoted a collection 1 day ago
Qwen3.5
liked a model 6 days ago
LiquidAI/LFM2-8B-A1B
reacted to OzTianlu's post with 🔥 7 days ago
Scaling UP in Kai! 🌊 https://huggingface.co/NoesisLab/Kai-3B-Instruct Introducing NoesisLab/Kai-3B-Instruct What happens when you force a 3B model to reason entirely in its latent space ? Meet Kai-3B, our latest industrial-grade reasoning model fine-tuned using the Adaptive Dual Search (ADS) algorithm. GSM8K (0-shot, Direct Answer): 39.27% 🤯 (Llama-2-7B is ~14.6%) HumanEval (Pass@1): 39.02% 💻 (Overtakes Gemma-2-2B's 30%) MMLU (5-shot): 53.62% 📚 (Crushing the 50% barrier) ARC-Challenge: 51.88%🎯 PIQA: 77.53% HellaSwag: 69.53% Kai-3B proves that reasoning density doesn't strictly require parameter bloat or verbose generation. It acts as a perfect, cold-blooded Agent action-engine—ideal for JSON routing, SWE-bench patch generation, and anywhere you need absolute structured certainty without token waste.
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