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Source channel @githubtrending · Post #15143 · Sep 14
#python#llms#mlx MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed. https://github.com/ml-explore/mlx-lm
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@singsingchannel · Post #1127 · 12/23/2024, 07:11 AM
🔥 Another 121,343 $SING has been burned! 🔥 💨 Reducing supply, increasing value—step by step, we're building a stronger $SING ecosystem. ✔️Check out details: https://bscscan.com/tx/0xb3fac74c5744b68eee62ffa0efbdbe909ec4e719c2b644315a082c32a3aa9634 Stay tuned for more updates! 🚀 #SingSing#TokenBurn#Deflation
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@venturevillagewall · Post #4114 · 02/10/2025, 01:00 PM
Ethereum: Potential Shift to Trustworthy Money Ethereum could become ‘ultra-secure’ money as supply decreases, claims developer Justin Drake. Post-Dencun, emissions stats: 657,000 BTC vs. 469,000 ETH ($63.4B vs. $1.23B). Bitcoin miners rely on crypto mining; commission share at only 1%. Safety concerns may arise as mining becomes less viable. Halvings could worsen security issues. Read more: ForkLog #Ethereum#Bitcoin#Crypto#Mining#Finance#Deflation#JustinDrake#Dencun#ETH#BTC#Blockchain#Investing#Decentralization#PoS#Halving#Security#MarketTrends#Emissions#DigitalAssets#RiskManagement#Cryptocurrency