strangerguardhf/nsfw-image-detection
Image Classification • 92.9M • Updated • 395 • 17
🔄 In a Training Loop
MetrisVailore
Metris
AI & ML interests
Building a new general architecture for LLMs
https://huggingface.co/Dream-W
Recent Activity
liked a model about 7 hours ago
strangerguardhf/nsfw-image-detection reacted to prithivMLmods's post with 👍 about 7 hours ago
VIGOR (Vision Intelligence and Guardrail Oriented Reasoning) is now available on the Hugging Face Model Hub. It is a multimodal vision classification model based on Qwen3.5, designed for visual content-safety analysis and conservative classification, with a particular focus on identifying potentially sensitive content.
📦 Models: 27B, 9B, 4B —
https://huggingface.co/prithivMLmods/VIGOR-27B,
https://huggingface.co/prithivMLmods/VIGOR-flash,
https://huggingface.co/prithivMLmods/VIGOR-mini
↗️ Collection:
https://huggingface.co/collections/prithivMLmods/vigor
To learn more, visit the app page or the respective model pages. liked a model about 7 hours ago
prithivMLmods/VIGOR-miniOrganizations
liked a
model about 7 hours ago
reacted to prithivMLmods's post with 👍 about 7 hours ago
Post
4,196
VIGOR (Vision Intelligence and Guardrail Oriented Reasoning) is now available on the Hugging Face Model Hub. It is a multimodal vision classification model based on Qwen3.5, designed for visual content-safety analysis and conservative classification, with a particular focus on identifying potentially sensitive content.
📦 Models: 27B, 9B, 4B —
prithivMLmods/VIGOR-27B,
prithivMLmods/VIGOR-flash,
prithivMLmods/VIGOR-mini
↗️ Collection:
https://huggingface.co/collections/prithivMLmods/vigor
To learn more, visit the app page or the respective model pages.
📦 Models: 27B, 9B, 4B —
prithivMLmods/VIGOR-27B,
prithivMLmods/VIGOR-flash,
prithivMLmods/VIGOR-mini
↗️ Collection:
https://huggingface.co/collections/prithivMLmods/vigor
To learn more, visit the app page or the respective model pages.
liked a
model about 7 hours ago
replied to Banaxi-Tech's post 2 days ago
I sent a request to Klein ML, you can accept if you want, I will help
replied to Banaxi-Tech's post 2 days ago
@Banaxi-Tech How would I message you? Also @Bc-AI and @ArushCodes
reacted to appvoid's post with 🔥 2 days ago
Post
3,996
You know, I can't believe we are actually doing it, literally advancing the frontier at the edge! We've come a long way since the first models on open slm leaderboard, and, as many things that change, performance is one of the main things that has exploded.
7 years ago, the best we had was GPT-2. Today, we got 90m models beating smollm2! I can't barely see what a future with increasingly powerful small models will look like.
All I can say is that the best is yet to come. And will be agentic.
7 years ago, the best we had was GPT-2. Today, we got 90m models beating smollm2! I can't barely see what a future with increasingly powerful small models will look like.
All I can say is that the best is yet to come. And will be agentic.
- 11 replies
upvoted 3
papers 2 days ago
The Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction
Paper • 2609.18063 • Published • 31
FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution
Paper • 2608.16157 • Published • 112
TokenEconomizer: Experience-Driven Black-Box Cost Control for Coding Agents
Paper • 2610.22732 • Published • 13
reacted to alphabell-research's post with 👍 5 days ago
Post
3,003
One number missing from LFM3's on-device story: memory at 256K context. Liquid AI reports 1.90 GB peak on iPhone 17 Pro at 32K. From the pinned config, f16 K/V cache alone would be 0.41 GB at 32K, 1.61 GB at 128K and 3.22 GB at 256K, before weights and runtime buffers. The chart shows the calculation, not a phone measurement. If you have run longer contexts on-device, share peak memory and time to first token here: LiquidAI/LFM3-1.7B#5
Model: LiquidAI/LFM3-1.7B
Model: LiquidAI/LFM3-1.7B
- 3 replies
liked a
dataset 5 days ago
replied to Banaxi-Tech's post 5 days ago
@Banaxi-Tech I can give you my secret sheduler to test if you want. Better than cosine, linear, wsd, everything
can you tell me too?
Yes
upvoted 4
papers 5 days ago
On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models
Paper • 2610.32770 • Published • 34
On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction
Paper • 2610.22543 • Published • 30
Recurrent Looped Transformer
Paper • 2610.07591 • Published • 24
Zep: A Temporal Knowledge Graph Architecture for Agent Memory
Paper • 2501.13956 • Published • 18
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model 6 days ago
liked a
dataset 6 days ago
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