Tonic (Joseph [open/acc] Pollack)

posted an update 5 days ago

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3297

🙋🏻‍♂️ Hey there folks ,

I'm sharing huggingface's largest dataset of annotated statelite images today.

check it out here : NuTonic/sat-image-boundingbox-sft-full

I hope you like it , the idea is to be able to use this with small vision models 🚀

reacted to prometechinc's post with 👍 about 1 month ago

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2299

Cicikuş v4-5B (POFUDUK Edition) is a next-generation compact language model engineered for high-efficiency reasoning, adaptive intelligence, and behavioral coherence. Built on the Gemma 4B IT foundation and enhanced through advanced LoRA optimization and selective layer reconstruction, this model delivers powerful performance without the overhead of massive parameter counts.
🔗 Explore the model: pthinc/pofuduk_cicikus_v4_5B
🧠 Why Cicikuş?
In a world dominated by massive LLMs, Cicikuş takes a different path:
⚡ Fast & Efficient — Designed for edge deployment and low-resource environments
🎯 High Reasoning Accuracy — Strong results across MMLU, GSM8K, HumanEval, and more
🧩 Behavior-Aware Intelligence — Powered by the Behavioral Consciousness Engine (BCE)
🔍 Low Hallucination Rate — ~3% with built-in ethical filtering
🌍 Multilingual Capable — Optimized for English and Turkish

reacted to h4's post with 🔥🚀😎➕👀 about 1 month ago

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finding https://github.com/meta-introspector/monster/blob/9a368b1dd58e72ed4a466f81f74ab2ea95c26927/experiments/bott_periodicity/monster_walk.tex#L82 I sent this to my old math prof
You can remove these primes in groups from the monster in the 10fold way
1 & 0 & 8080 & 4 & 8 \\
2 & 4 & 1742 & 4 & 4 \\
3 & 8 & 479 & 3 & 4 \\
4 & 11 & 451 & 3 & 4 \\
5 & 14 & 2875 & 4 & 4 \\
https://x.com/introsp3ctor/status/2018078520321179935

reacted to OzTianlu's post with 😎 about 2 months ago

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1974

We deleted the Embedding Layer -- INTRO Our Collins-Embedding-3M
NoesisLab/Collins-Embedding-3M
Most "small" models are just giant vocab tables in a trench coat. Collins-3M changes that. By using 2-Universal Hashing and Chernoff-bound noise suppression, we’ve collapsed the embedding space into a fixed O(1) hash-map.
* STSB: 0.7114 (Beating many 100M+ models)
* Size: 3M (Edge-ready, IoT-ready)
* Tech: Randomized Sign-Hashing + RoPE positional injection.
Built by NoesisLab

reacted to their post with 🔥 about 2 months ago

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3670

🤔 Who would win ?

- a fully subsidized ai lab
OR
- 3 random students named

kurakurai ?

demo : Tonic/fr-on-device

if you like it give the demo a little star and send a shoutout to : @MaxLSB @jddqd and @GAD-cell for absolutely obliterating the pareto frontier of the french language understanding .

4 replies

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replied to ZennyKenny's post 2 months ago

nothing is perfect but at least they care about their community experience at huggingface :-)

replied to ZennyKenny's post 2 months ago

this was actually fantastic news to hear though :-) secretly glad about it

reacted to ZennyKenny's post with 👀 2 months ago

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1993

🫠 Brutal! Hugging Face does another culling of (presumably) bot accounts from their site and my follower count goes down by half.

💀 TFW my content and models only appeal to bots. Who’s got the current best AI girlfriend app guys?

11 replies

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replied to their post 2 months ago

In short, the students won. They did so by fine-tuning LFM2. LFM2 is a foundation built by Liquid AI. Liquid AI is a $2 billion startup from MIT.

the total budget of the students was zero . the total budget required (currently) for someone with no access to a computer is zero : https://huggingface.co/unsloth-jobs

i think that's cool 👍🏻

replied to their post 2 months ago

it's actually not a mystery why a well-ressourced language like french would actually get history made by highschoolers' side project : a pareto frontier they've currently held for almost six months now ...

their supreme reign will continue until ressource allocation improves.

posted an update 2 months ago

Post

3670

🤔 Who would win ?

- a fully subsidized ai lab
OR
- 3 random students named

kurakurai ?

demo : Tonic/fr-on-device

if you like it give the demo a little star and send a shoutout to : @MaxLSB @jddqd and @GAD-cell for absolutely obliterating the pareto frontier of the french language understanding .

4 replies

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reacted to prithivMLmods's post with 🚀👍🤗❤️ 2 months ago

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3265

Try the demo for Qwen3-VL-abliterated-MAX-Fast: prithivMLmods/Qwen3-VL-abliterated-MAX-Fast (Unredacted: Ask Anything with Near-Zero Refusal Rates). The full model series collection is available here: https://huggingface.co/collections/prithivMLmods/unredacted-max-vl

replied to their post 2 months ago

it's for openclaw

Joseph [open/acc] Pollack PRO

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Joseph [open/acc] Pollack PRO

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