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QuantaSpark

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FM-1976's profile picture helvetiphant's profile picture PhysiQuanty's profile picture
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AI & ML interests

Natural Language Processing (NLP), Text Classification, Lightweight Transformers, Model Optimization, AI Demos & Tooling

Recent Activity

reacted to PhysiQuanty's post with 🤯 5 days ago
🧠 Arithmetic-SLM : A 30M model that manages to compute simple arithmetic better than a 3B model 🚀 https://huggingface.co/WhirlwindAI/Arithmetic-SLM https://huggingface.co/spaces/WhirlwindAI/arithmetic-slm 🏆 Leaderboard ArithMark-2 🏆 🥇 Qwen/Qwen2.5-Math-1.5B = 82.08% 🥈 WhirlwindAI/Arithmetic-SLM = 78.60% (31.7M Params) 🥉 Qwen/Qwen2.5-3B = 78.44% Example WhirlwindAI/Arithmetic-SLM = 0.5 * 0.5 = 0.25 ✅ 105 + 45 / 8 = 110 ✅ (132 / 12) + (46 - 15) = 42 ✅ (10 + 28) * 3 = 114 ✅ 1 * (16 + 28) = 44 ✅ (21 + 27) * (14 - 7) = 336 ❌ ```python leaderboard = """ | Model | Params | Score | |----------------------------------|--------------|-----------| | Qwen/Qwen2.5-Math-1.5B | 1.54B | 82.08% | | WhirlwindAI/Arithmetic-SLM | 31.70M | 78.60% | <= | Qwen/Qwen2.5-3B | 3.09B | 78.44% | | Qwen/Qwen2.5-1.5B | 1.54B | 77.72% | | Qwen/Qwen2.5-Coder-1.5B | 1.54B | 74.88% | | HuggingFaceTB/SmolLM2-1.7B | 1.71B | 66.12% | | Qwen/Qwen2.5-0.5B | 494M | 63.04% | | facebook/MobileLLM-R1-140M-base | 140M | 53.88% | | SupraLabs/Supra-50M-Base | 52M | 27.12% | """ ``` Bench = https://huggingface.co/datasets/AxiomicLabs/ArithMark-2.0 DataSet = https://huggingface.co/datasets/WhirlwindAI/Arithmetic By Science AND FOR SCIENCE <3
reacted to PhysiQuanty's post with 😔 5 days ago
🧠 Arithmetic-SLM : A 30M model that manages to compute simple arithmetic better than a 3B model 🚀 https://huggingface.co/WhirlwindAI/Arithmetic-SLM https://huggingface.co/spaces/WhirlwindAI/arithmetic-slm 🏆 Leaderboard ArithMark-2 🏆 🥇 Qwen/Qwen2.5-Math-1.5B = 82.08% 🥈 WhirlwindAI/Arithmetic-SLM = 78.60% (31.7M Params) 🥉 Qwen/Qwen2.5-3B = 78.44% Example WhirlwindAI/Arithmetic-SLM = 0.5 * 0.5 = 0.25 ✅ 105 + 45 / 8 = 110 ✅ (132 / 12) + (46 - 15) = 42 ✅ (10 + 28) * 3 = 114 ✅ 1 * (16 + 28) = 44 ✅ (21 + 27) * (14 - 7) = 336 ❌ ```python leaderboard = """ | Model | Params | Score | |----------------------------------|--------------|-----------| | Qwen/Qwen2.5-Math-1.5B | 1.54B | 82.08% | | WhirlwindAI/Arithmetic-SLM | 31.70M | 78.60% | <= | Qwen/Qwen2.5-3B | 3.09B | 78.44% | | Qwen/Qwen2.5-1.5B | 1.54B | 77.72% | | Qwen/Qwen2.5-Coder-1.5B | 1.54B | 74.88% | | HuggingFaceTB/SmolLM2-1.7B | 1.71B | 66.12% | | Qwen/Qwen2.5-0.5B | 494M | 63.04% | | facebook/MobileLLM-R1-140M-base | 140M | 53.88% | | SupraLabs/Supra-50M-Base | 52M | 27.12% | """ ``` Bench = https://huggingface.co/datasets/AxiomicLabs/ArithMark-2.0 DataSet = https://huggingface.co/datasets/WhirlwindAI/Arithmetic By Science AND FOR SCIENCE <3
reacted to PhysiQuanty's post with 🤝 5 days ago
🧠 Arithmetic-SLM : A 30M model that manages to compute simple arithmetic better than a 3B model 🚀 https://huggingface.co/WhirlwindAI/Arithmetic-SLM https://huggingface.co/spaces/WhirlwindAI/arithmetic-slm 🏆 Leaderboard ArithMark-2 🏆 🥇 Qwen/Qwen2.5-Math-1.5B = 82.08% 🥈 WhirlwindAI/Arithmetic-SLM = 78.60% (31.7M Params) 🥉 Qwen/Qwen2.5-3B = 78.44% Example WhirlwindAI/Arithmetic-SLM = 0.5 * 0.5 = 0.25 ✅ 105 + 45 / 8 = 110 ✅ (132 / 12) + (46 - 15) = 42 ✅ (10 + 28) * 3 = 114 ✅ 1 * (16 + 28) = 44 ✅ (21 + 27) * (14 - 7) = 336 ❌ ```python leaderboard = """ | Model | Params | Score | |----------------------------------|--------------|-----------| | Qwen/Qwen2.5-Math-1.5B | 1.54B | 82.08% | | WhirlwindAI/Arithmetic-SLM | 31.70M | 78.60% | <= | Qwen/Qwen2.5-3B | 3.09B | 78.44% | | Qwen/Qwen2.5-1.5B | 1.54B | 77.72% | | Qwen/Qwen2.5-Coder-1.5B | 1.54B | 74.88% | | HuggingFaceTB/SmolLM2-1.7B | 1.71B | 66.12% | | Qwen/Qwen2.5-0.5B | 494M | 63.04% | | facebook/MobileLLM-R1-140M-base | 140M | 53.88% | | SupraLabs/Supra-50M-Base | 52M | 27.12% | """ ``` Bench = https://huggingface.co/datasets/AxiomicLabs/ArithMark-2.0 DataSet = https://huggingface.co/datasets/WhirlwindAI/Arithmetic By Science AND FOR SCIENCE <3
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