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Talaviya Bhavik

talaviyabhavik
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AI & ML interests

LLM.. LLM.. LLM

Recent Activity

liked a model 4 days ago
meta-models/Muse-Glimmer-30B
reacted to Shrijanagain's post with 👀 7 days ago
Welcome Researcher and Developers! SKT AI Labs, we are pushing the boundaries of AI architecture and research—and today, we are thrilled to open our doors to the global research community! ​We warmly welcome researchers, developers, and AI enthusiasts to join us and contribute to our R&D efforts. ​🧪 What You Can Explore: We invite you to experiment with our WMF (Weight Manifold Fusion) technology. You can test this high-dimensional fusion technique on smaller models to gain a deeper understanding of its behavior and token convergence. ---------- CHECK OUT: SPACE : https://huggingface.co/spaces/SKT-NRS/RD EXPERIMENT : https://huggingface.co/sKT-Ai-Labs/SKT-SURYA-H DIRECT TO MAIN DISCUSSION : https://huggingface.co/spaces/SKT-NRS/RD/discussions/1 ​🤝 Your Feedback Shapes the Future : ​If it works: Fantastic! Share your results with us and contribute directly to the core vision of SKT AI Labs. ​If it doesn't work: No problem at all! Your critical feedback is just as valuable to us. Every experiment and anomaly helps us refine this architecture to make it more stable and robust. ​We firmly believe that true innovation stems from community collaboration and transparent testing. Let's build the future of advanced AI together. Your ideas, test results, and feedback are always welcome! You Can Still Research and Development On WMF Only SKT-SURYA-H Model is Dismissed. ​Let's innovate and build together! 💡
reacted to pankajpandey-dev's post with 🚀 17 days ago
🇮🇳 Qwen3.5-9B Hindi Instruct — it stops thinking in English Ask base Qwen3.5-9B a question in Hindi and it burns hundreds of tokens thinking in English inside its think block before a single Devanagari word appears — then code-switches in the answer. I fine-tuned it to close the think block instantly and reply in pure, native Hindi. ✅ Model (16-bit): https://huggingface.co/pankajpandey-dev/qwen3.5-9b-hindi-instruct ✅ GGUF (Q4/Q5/Q8): https://huggingface.co/pankajpandey-dev/qwen3.5-9b-hindi-instruct-GGUF ✅ Try it in the browser: https://huggingface.co/spaces/pankajpandey-dev/qwen3.5-9b-hindi-demo Recipe: Unsloth + LoRA (r=16, response-only loss) on 12.9k Hindi pairs — AI4Bharat anudesh + dolly-hi + wikiHow-hi + Aya Hindi (human-written). The Q4_K_M is 5.4 GB and runs on a plain laptop CPU. New in this run vs my earlier models: mixed in long-form native sources (wikiHow) after my last eval showed the fine-tune traded detail for conciseness — this one keeps answers detailed and native. Part of my weekly 🇮🇳 Hindi LLM Series. Feedback welcome 🙏 #Hindi #IndicNLP #Qwen #GGUF #LocalLLM #Unsloth
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