My Personal Model Picks

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TLDR: A curated showcase of small, on-premise models with great utility, enabling privacy-centered deployment and easy adaptation to bio-inspired use cases.

Hey there! Welcome to "My-Personal-Model-Picks" – basically my digital notebook for cool AI models I've stumbled upon.

So here's the deal: I kept losing track of these awesome, compact AI models that can run on your own machine (hello, privacy!) and are surprisingly versatile. Fed up with forgetting, I decided to dump them all here.

What you'll find:

Small but mighty AI models that don't need a supercomputer to run
Privacy-friendly stuff you can use without sending your data to the cloud
Flexible models that play nice with bio-inspired tweaks (because nature is cool, right?)
AI that actually works in the real world without a Ph.D. to set up

This isn't some polished showcase – it's more like my messy desk of AI treasures. If you're into AI that's practical, privacy-conscious, and maybe a bit inspired by how our brains or rather nature work, you might dig this collection.

Whether you're a fellow student, a curious dev, or just someone who likes efficient tech, feel free to poke around. I'm constantly updating this as I find new gems or when procrastination hits hard during finals week.

No pressure to stick around, but if you're into this kind of stuff, you might find something neat. Who knows, maybe you'll discover your next project inspiration or a solution to that tricky AI problem you've been wrestling with.

Happy exploring, and may your models be ever accurate and your privacy intact! 🤖🔒✨

Model Showcase

Model	Link	Type	Size	Disk Space	Immediate Use Cases
NuExtract-Tiny	HuggingFace (a not so tiny, 3.8B version)	Text-to-StructData	494M params	988Mb	Maybe, extract structured data from text documents with multilingual & long-form support
OuteTTS-350M	HuggingFace	Text-to-Speech	362M params	724Mb	Maybe, pure LLM-based text-to-speech with multiple voices
Jina-Embeddings-V2-Base-Code	HuggingFace	Text-Embeddings	161M params	322Mb	Maybe, code-specific embeddings with 8k sequence length support
Mini-Omni	HuggingFace	Speech-to-Text, Speech+Text-to-Text	0.5B params	2.7Gb	Maybe, real-time transcription and translation for multilingual podcasts or videos
MusicGen-Small	HuggingFace	Text-to-Music	300M params	2.36Gb	Maybe, music generation based on the themes of certain text
RMBG	HuggingFace	Background-removal	*	200Mb	Maybe, a step in automated video-editing
Whisper	HuggingFace	Speech-to-Text	74M	290Mb	Maybe, another form of input beyond text
SmolLM-360M	HuggingFace	Text-Gen	360M	724Mb	Maybe, simple instruction following
NuExtract-Tiny	HuggingFace	Text-to-StructData	0.5B	1.86Gb	Fast structured data extraction
NuNER-multilingual	HuggingFace	Entity-Recognition	*	711Mb	Maybe, entity-extraction in newspapers
NuNER-Zero	HuggingFace	Zero-Shot Named-Entity-Recognition	*	1.8Gb	Fast new-shot entity extraction
NuTopic	HuggingFace	Topic-Recognition	*	438Mb	Fast, topic-extraction
TimesFM	HuggingFace	Time-Series Foundation Models	200M	814Mb	Maybe, zero-shot anomaly detection
LittleTinies	HuggingFace	Text-to-Cartoonish-Image-Generation	*	228Mb	Fast, cutesy storyboarding
Storyboard-Sketch	HuggingFace	Text-to-Storyboard-Sketch	*	228Mb	Fast, sketch plot teller
ShieldGemma	HuggingFace	Content Moderation	2.61B params	5.2Gb	High-performance safety content moderation in text generation applications

SmallAIModels OnPremiseAI PrivacyPreservingML BioInspiredAI EdgeComputing EfficientMachineLearning AIForStudents PracticalAIApplications LocalAIDeployment LowOverheadML AdaptableNeuralNetworks AIPrivacySolutions CompactDeepLearning PersonalizedAI RealWorldAI StudentAIProjects AIModelCuration PrivateMLModels AIEfficiency BrainInspiredComputing