Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
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Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#2Awesome. Say, this is very comprehensive.
I was vaguely aware of all these pieces existing (except for running a facial recognition database at home o_o), but it's really neat to put them all together like that.
Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#3I ran Gemma on a 2015 thinkpad to do something similar. Fortunately, I could upgrade the memory otherwise it would have been a painful exercise.
Not gonna lie, llama.cpp had the fans spinning at max speed. But it worked and I got the job done.
Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#4> generative AI video has no place on a real travel brand
I am pretty sure that the vast majority of Airbnb hosts would not agree with you.
> equals TripAdvisor crucifixion
I have no idea how the Airbnb hosts with fake listings survive, really.
Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#5Awesome. Say, this is very comprehensive. I was vaguely aware of all these pieces existing (except for running a facial recognition database at home o_o), but it's really neat to put them all together like that.
Thanks! I was honestly casually trying it out on the side with Claude's help. And I was actually pleasantly surprised to see how good the result was.
Still blows my mind I can do all this from my 2021 MBP.
I'll try to do a post once I have the next steps working (helping with planning and editing videos with Davinci Resolve).
Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#6> generative AI video has no place on a real travel brand I am pretty sure that the vast majority of Airbnb hosts would not agree with you. > equals TripAdvisor crucifixion I have no idea how the Airbnb hosts with fake listings survive, really.
Haha. It's honestly something that I've been struggling with myself. I'm running this safari lodge but I don't want to go down that route of slop videos!
But on the other hand, genuine videos do take time and slows down the process.
Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#7> The skill is open at ~/.claude/skills/video-index/. If you're working on something similar (indexing personal archives, getting a local model to do real archival work, building agents that drive editing tools), I'd be glad to compare notes.
When your Claude wrote this post they might not have selected the right URL to share, unless your home folder is exposed. Care to share the skill files?
Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#8> The skill is open at ~/.claude/skills/video-index/. If you're working on something similar (indexing personal archives, getting a local model to do real archival work, building agents that drive editing tools), I'd be glad to compare notes. When your Claude wrote this post they might not have selected the right URL to share, unless your home folder is exposed. Care to share the skill files?
Oops! My bad. Fixing it now. And yeah, I can share the Skill file. Give me 5 mins.
Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#9Thanks for the article! I have a beefy M5 Pro and I'm eagerly looking around for ways to use local models (specifically Gemma4 & Qwen3.6).
This is an excellent thing to do. Especially that LLMs excel at batching thus you can index multiple photos and videos in parallel for no performance penalty.
Re: Indexing a year of video locally on a 2021 MacBook with Gemma4-31B (50GB swap)
#10Thanks for the article! I have a beefy M5 Pro and I'm eagerly looking around for ways to use local models (specifically Gemma4 & Qwen3.6). This is an excellent thing to do. Especially that LLMs excel at batching thus you can index multiple photos and videos in parallel for no performance penalty.
I have been contemplating a M5 Pro MBP, but for the life for me I wasn't able to find benchmarks for real-world models, do you happen to know how many tokens per second roughly you get with MoE models like Qwen 3.6 35B/A3B or Gemma 4 26B?