Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about
Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about
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Saluki 27B: The 8GB AI Model That Challenges Full-Size Models
00:00 – Introduction to Underdog’s Saluki 27B
00:13 – Original model size vs. compressed model
00:29 – 85% file size reduction while retaining 96% performance
00:46 – Tool-calling benchmarks: Saluki vs. full-size model
01:13 – Introduction to the video and host
01:36 – What is Saluki 27B and who developed it?
01:44 – Understanding IQ2_Mix GGUF quantization
02:13 – How aggressive quantization works
02:20 – Running AI locally with llama.cpp
02:28 – Privacy benefits and Apache 2.0 license
02:39 – Why local AI matters for businesses
02:51 – Data privacy: local AI vs. cloud-based AI
03:15 – Connecting Saluki to business tools using an API
03:38 – AI Profit Boardroom promotion and local AI roadmap
04:39 – Benchmark results: 88/120 vs. 84/120
04:47 – Parallel tool-calling performance comparison
05:03 – Why tool calling matters for AI agents
05:26 – The future of compressed AI models
05:43 – How Underdog optimized Saluki for agent workflows
06:02 – The business advantage of running local AI agents
06:26 – AI Profit Boardroom: tutorials, coaching, and resources
07:15 – Free AI Success Lab community
07:23 – Free resources, prompts, workflows, and AI use cases
07:47 – Final invitation to join the community
Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about
Get a FREE AI Course + Community + 1,000 AI Agents 👉https://www.skool.com/ai-seo-with-julian-goldie-1553/about
Get a FREE AI SEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian
Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts?utm=julian
Get our free SEO Link Building Book here: https://go.juliangoldie.com/opt-in?utm=julian
Saluki 27B: The 8GB AI Model That Challenges Full-Size Models
00:00 – Introduction to Underdog’s Saluki 27B
00:13 – Original model size vs. compressed model
00:29 – 85% file size reduction while retaining 96% performance
00:46 – Tool-calling benchmarks: Saluki vs. full-size model
01:13 – Introduction to the video and host
01:36 – What is Saluki 27B and who developed it?
01:44 – Understanding IQ2_Mix GGUF quantization
02:13 – How aggressive quantization works
02:20 – Running AI locally with llama.cpp
02:28 – Privacy benefits and Apache 2.0 license
02:39 – Why local AI matters for businesses
02:51 – Data privacy: local AI vs. cloud-based AI
03:15 – Connecting Saluki to business tools using an API
03:38 – AI Profit Boardroom promotion and local AI roadmap
04:39 – Benchmark results: 88/120 vs. 84/120
04:47 – Parallel tool-calling performance comparison
05:03 – Why tool calling matters for AI agents
05:26 – The future of compressed AI models
05:43 – How Underdog optimized Saluki for agent workflows
06:02 – The business advantage of running local AI agents
06:26 – AI Profit Boardroom: tutorials, coaching, and resources
07:15 – Free AI Success Lab community
07:23 – Free resources, prompts, workflows, and AI use cases
07:47 – Final invitation to join the community