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🔬 Parmanu (Hindi for Atom) is live.
Parmanu is part of the Computational Social Systems (LCS2) @lcs2lab at IIT Delhi, led by Prof. Tanmoy Chakraborty @Tanmoy_Chak , and is our dedicated home for Efficient Large Language Models (LLMs) and Small Language Models (SLMs).
We’re at a turning point in AI. The future won’t be defined by scaling alone - it will be shaped by efficiency, accessibility, and real-world deployability. Parmanu is our effort to push this efficiency-first vision forward. ✨🤖
🔗 Explore the project page: parmanu.lcs2.in
Why Parmanu matters 🔥
• 📚 A centralized hub for our research, with papers accepted at ICLR, ICML, NeurIPS, TACL, ACL, and TMLR
• 🛠️ Open access to tools, code, and artifacts spanning model compression, KV efficiency, PEFT, inference optimization, knowledge distillation, and model coordination
• 🧠 A growing ecosystem focused on making strong language models smarter per parameter, not just larger
What this means for the community
For researchers 👩🔬👨🔬
A curated, evolving resource tied to top-tier venues
Reproducible artifacts and principled problem formulations
A shared space to advance efficiency-centric LLM research
For practitioners 👩💻👨💻
Practical techniques to deploy LLMs under tight latency and memory budgets
Faster paths from paper → production
Tools that actually work under real deployment constraints
What’s coming in 2026 🚀🔮
• 📊 Efficient LLM/SLM leaderboards
• 🧪 Open-sourced efficient LLM artifacts
• ⚙️ More tools for compression, distillation, and inference
• 🤝 Deep integration with Hugging Face and other popular libraries
If you’re excited about efficient, sustainable, and scalable AI, check out Parmanu, share feedback, and collaborate with us. The next wave of LLMs won’t just be bigger - they’ll be leaner, faster, and more impactful. 🌟
#EfficientLLMs #SLMs #ModelCompression #InferenceOptimization #KnowledgeDistillation #AIResearch #NLP #ICLR #ICML #NeurIPS #ACL #TACL #TMLR #IITDelhi #LCS2 #Parmanu
Parmanu is part of the Computational Social Systems (LCS2) @lcs2lab at IIT Delhi, led by Prof. Tanmoy Chakraborty @Tanmoy_Chak , and is our dedicated home for Efficient Large Language Models (LLMs) and Small Language Models (SLMs).
We’re at a turning point in AI. The future won’t be defined by scaling alone - it will be shaped by efficiency, accessibility, and real-world deployability. Parmanu is our effort to push this efficiency-first vision forward. ✨🤖
🔗 Explore the project page: parmanu.lcs2.in
Why Parmanu matters 🔥
• 📚 A centralized hub for our research, with papers accepted at ICLR, ICML, NeurIPS, TACL, ACL, and TMLR
• 🛠️ Open access to tools, code, and artifacts spanning model compression, KV efficiency, PEFT, inference optimization, knowledge distillation, and model coordination
• 🧠 A growing ecosystem focused on making strong language models smarter per parameter, not just larger
What this means for the community
For researchers 👩🔬👨🔬
A curated, evolving resource tied to top-tier venues
Reproducible artifacts and principled problem formulations
A shared space to advance efficiency-centric LLM research
For practitioners 👩💻👨💻
Practical techniques to deploy LLMs under tight latency and memory budgets
Faster paths from paper → production
Tools that actually work under real deployment constraints
What’s coming in 2026 🚀🔮
• 📊 Efficient LLM/SLM leaderboards
• 🧪 Open-sourced efficient LLM artifacts
• ⚙️ More tools for compression, distillation, and inference
• 🤝 Deep integration with Hugging Face and other popular libraries
If you’re excited about efficient, sustainable, and scalable AI, check out Parmanu, share feedback, and collaborate with us. The next wave of LLMs won’t just be bigger - they’ll be leaner, faster, and more impactful. 🌟
#EfficientLLMs #SLMs #ModelCompression #InferenceOptimization #KnowledgeDistillation #AIResearch #NLP #ICLR #ICML #NeurIPS #ACL #TACL #TMLR #IITDelhi #LCS2 #Parmanu
parmanu.lcs2.in Parmanu @ LCS2 IIT Delhi A comprehensive resource for efficient large language models. Brought to you by Laboratory for Computational Social Systems, IIT Delhi.