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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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Venture Village Wall 🦄

@venturevillagewall · Post #4047 · 02/01/2025, 04:00 PM

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Funding Round Highlights: January 2025 🔍 Key funding rounds from January 2025: - Omnitron Sensors: $13M for efficient MEMS manufacturing. Learn More - Unwrap.ai: $12M for AI-powered customer feedback analytics. Learn More - Le Fourgon: $8.55M for returnable product transportation. - TeamSec: $7.60M for cloud-based securitization solutions. Learn More - Crowded: $7.50M raised. - Cactos: $7.27M for innovative electricity storage solutions. Learn More - Selta Square: $6.41M for pharmacovigilance AI solutions. Learn More - Medsender: $5M for HIPAA-compliant document automation. Learn More - Univale Transportes: $4.78M raised. - SKUsafe: $4.30M for compliance and nutritional analysis tools. Learn More #AI#Fintech#Regtech#Manufacturing#Healthcare#Energy#SupplyChain#NutritionalAnalysis#Compliance#StartupFunding

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