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PhysiQuanty PRO

PhysiQuanty

AI & ML interests

Theoretical Physics, Meta Deep Learning

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reacted to danielhanchen's post with 🚀 about 3 hours ago

Google releases Gemma 4. ✨ Gemma 4 introduces 4 models: E2B, E4B, 26B-A4B, 31B. The multimodal reasoning models are under Apache 2.0. Run E2B and E4B on ~6GB RAM, and on phones. Run 26B-A4B and 31B on ~18GB. GGUFs: https://huggingface.co/collections/unsloth/gemma-4 Guide: https://unsloth.ai/docs/models/gemma-4

reacted to danielhanchen's post with 🔥 about 3 hours ago

liked a model about 3 hours ago

PhysiQuanty/VOCAB-4294967296-FOUR-SOFTMAX-256

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188

🇫🇷 French PATENT DataSet
🚀 800k patent (1981-2026)

INPI-France/FR-Patent-2020-2026-Raw
INPI-France/FR-Patent-2020-Claims
INPI-France/FR-Patent-2024-Chunked
INPI-France/Brevets-Francais-1981-2026-Raw

🔓 API/FTP INPI ACCESS
🔑 Access to the API/FTP INPI : https://data.inpi.fr/content/editorial/apis_pi

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2736

🧬 Can an LLM speak in binary ?
✅ YES ... RADIX 2 / VOCAB 4
PhysiQuanty/Binary-LLM-POC

🤖 >_ Can an LLM execute logic gates and boolean arithmetic ?

We need to create datasets :
- Neural Arithmetic and Logic Unit (NALU) 32 bits
- Neural Application Binary Interface (NABI) 32 bits

🎯 Optimal Instruction Set = RV32IMAF

This opens the way for code writing and execution by the LLMs themselves without an external CLI.

The more of us who want it, the more possible it will become ...

PhysiQuanty/Binary-Addition-LLM-POC
(10-bits binary addition : binary carry propagation, sampling no longer has any effect on the logits due to the fact that it is deterministic next token.)