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A Family of Dynamic UltraFast Small Language Models Ready for Embodied Artificial General Intelligence!

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Evanwu50020ย  new activity 19 days ago
SmallDoge/niah:[bot] Conversion to Parquet
QJerryย  authored a paper 3 months ago
D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
QJerryย  authored a paper 3 months ago
High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation
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prithivMLmodsย 
posted an update 5 days ago
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VisionGuardrail, a multimodal content-safety classifier based on Qwen3.5, is now available on Hugging Face in 4B and 9B variants. It is a direct upgrade to ImageShield-MMCF, providing improved parental controls through conservative visual content-safety filtering.

More About:
โž  hf.co/blog โ€” https://huggingface.co/blog/prithivMLmods/vision-guardrail-mini-blog

โž  Models:
โœฆ VisionGuardrail-4B: prithivMLmods/VisionGuardrail-4B
โœฆ VisionGuardrail-9B: prithivMLmods/VisionGuardrail-9B

โž  Dataset:
โœฆ ImageShield-Guardrail-Pro: prithivMLmods/ImageShield-Guardrail-Pro

โคท To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 13 days ago
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ImageShield-MMCF โ€” Multimodal Content Filter is a multimodal content-safety classifier built on top of Qwen3.5 and is now available on Hugging Face!

This is the preview initial version (v1.0) of the model, designed to classify visual content as Safe or Unsafe, with a particular focus on detecting Not Safe for Work (NSFW) and other potentially sensitive visual content.

The demo is implemented in the prithivMLmods/opencaption-4b-vl-sft Space, which serves as an active content-safety layer for computer vision tasks. It helps block Not Safe for Work (NSFW) content generation and paves the way for more meaningful and responsible creativity.

โŠน ImageShield-MMCF-0.8B: prithivMLmods/ImageShield-MMCF-0.8B
โŠน ImageShield-MMCF-2B: prithivMLmods/ImageShield-MMCF-2B
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Evanwu50020ย 
in SmallDoge/niah 19 days ago

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prithivMLmodsย 
posted an update 22 days ago
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The Qwen3.8 27B demo for object grounding is now available on Hugging Face Spaces.

It features three tasks: Object Detection (Bounding Boxes), Point Localization (Keypoints), and Spatial Guidance (Path Mapping).

Try it now: prithivMLmods/Qwen3.8-27B-Object-Detection
prithivMLmodsย 
posted an update about 1 month ago
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Made a demo for Text/Image-to-3D Video and Image-to-3D Video asset generation using TRELLIS.2. It is paired with Z-Image-Turbo to accelerate the input image preprocessing pipeline, streamlining the Image-to-3D workflow. The generated GLB (GL Transmission Format) files are converted into MP4 (MPEG-4) videos, making them easy to preview and share. Try it now on Hugging Face Spaces.๐Ÿค—

โž  Image-to-3D-Video-Asset-Generator: prithivMLmods/Image-to-3D-Video-Asset-Generator
โž  collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
โž  github: https://github.com/PRITHIVSAKTHIUR/Image-to-3D-Video-Asset-Generator

โคท To learn more, visit the app page or the respective model pages.
Shrijanagainย 
posted an update 2 months ago
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Welcome Researcher and Developers!

SKT AI Labs, we are pushing the boundaries of AI architecture and researchโ€”and today, we are thrilled to open our doors to the global research community!

โ€‹We warmly welcome researchers, developers, and AI enthusiasts to join us and contribute to our R&D efforts.

โ€‹๐Ÿงช What You Can Explore:

We invite you to experiment with our WMF (Weight Manifold Fusion) technology. You can test this high-dimensional fusion technique on smaller models to gain a deeper understanding of its behavior and token convergence.

---------- CHECK OUT:

SPACE : SKT-NRS/RD
EXPERIMENT : https://huggingface.co/sKT-Ai-Labs/SKT-SURYA-H
DIRECT TO MAIN DISCUSSION : SKT-NRS/RD#1

โ€‹๐Ÿค Your Feedback Shapes the Future :

โ€‹If it works: Fantastic! Share your results with us and contribute directly to the core vision of SKT AI Labs.

โ€‹If it doesn't work: No problem at all! Your critical feedback is just as valuable to us. Every experiment and anomaly helps us refine this architecture to make it more stable and robust.

โ€‹We firmly believe that true innovation stems from community collaboration and transparent testing. Let's build the future of advanced AI together. Your ideas, test results, and feedback are always welcome!

You Can Still Research and Development On WMF Only SKT-SURYA-H Model is Dismissed.

โ€‹Let's innovate and build together! ๐Ÿ’ก
Shrijanagainย 
posted an update 2 months ago
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๐Ÿš€ Big News for the AI Community! ๐Ÿ”ฅ

Weโ€™re excited to release NRS_QWEN_MYTHOS_1M โ€” a powerful reasoning model built on Qwen 3.5 9B!
At SKT AI LABS, weโ€™ve supercharged this 9B model with our proprietary Neural Reasoning System (NRS) to deliver next-level performance.

๐Ÿ”ฅ Why This Model is a Game-Changer:
โœ… 100x Reasoning Capacity โ€” Exceptional deep logical thinking and complex problem-solving
โœ… 1 Million Token Context โ€” Perfect for massive codebases, long documents, and multi-turn agentic workflows
โœ… Advanced Thinking Mode โ€” Native <think> tags for true step-by-step Chain-of-Thought reasoning
โœ… Tool-Use Ready โ€” Optimized for Python execution, Web Search, and self-correction
โœ… Blazing Fast โ€” Runs smoothly on consumer GPUs like RTX 3090/4090

Technical Highlights:

Base: Qwen 3.5 9B
Tuning: NRS-specific high-quality reasoning data
Context: 1M Tokens (YaRN Scaling)
License: NRS DOCS

Whether youโ€™re a developer building coding agents, a researcher working with long-context data, or someone who loves powerful reasoning โ€” this model is built for you.

๐Ÿ‘‰ Try it now on Hugging Face:
SKT-NRS/NRS_QWEN_MYTHOS_1M

Drop a comment: What will you build with it first? ๐Ÿ‘‡
#AI #OpenSource #LLM #Qwen #ReasoningModel #HuggingFace #NewModel #AICommunity
eienmojikiย 
posted an update 3 months ago
QJerryย 
authored 2 papers 3 months ago
KingNishย 
posted an update 3 months ago
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We trained an open-source Mythos like cybersecurity LLM for the Build Small Hackathon meet OpenMythos

Trained in two stages: SFT on ~1.84K filtered ArXiv cs.CR papers + real CVE data, then RLVR using paired with past vulnerabilities GitHub repos with a verifier model checking outputs against ground truth.

Trained on: H100s from Modal

The RLVR stage made the biggest difference responses got more precise and less prone to confusing similar vulnerability classes.

Everything is open:
๐Ÿค– Demo โ†’ build-small-hackathon/OpenMythos
๐Ÿง  Model โ†’ build-small-hackathon/OpenMythos
๐Ÿ“ฆ CVE Dataset โ†’ build-small-hackathon/CVE_Vulnerailities_Detailed
๐Ÿ“„ ArXiv Dataset โ†’ himanshu17HF/ArvixImport-Filtered-Final

Try it out and let us know where it breaks ๐Ÿ™
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Abhaykoulย 
posted an update 3 months ago
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Shipped v0.1.2 of vtx โ€” a minimalist coding agent for the terminal.

Most agentic CLIs ship 10k+ token system prompts. Vtx is ~2,200. Less prompt overhead means more room for your code in the model's context window.

Vtx is a from-scratch Python implementation of the design philosophy behind pi-mono โ€” same principles, pure Python, no transpiled runtime.

What ships out of the box:

โ†’ Textual TUI + headless CLI (vtx -p "fix the failing test")
โ†’ 49 LLM provider gateways, all declared in a single provider.yaml
โ†’ 5 core tools (read / edit / write / bash / find) plus web search and fetch
โ†’ Session tree with compaction, handoff, and resume
โ†’ AGENTS.md / CLAUDE.md auto-discovery
โ†’ Skills system โ€” drop SKILL.md files in .agents/skills/ and they become slash commands
โ†’ Two OAuth flows (GitHub Copilot device flow, OpenAI Codex PKCE)
โ†’ Two-mode permissions: prompt (default) or auto, with a safe-command allowlist

This release adds a proper extension system. Register new LLM-callable tools, intercept tool calls, hook lifecycle events, and add slash commands from a single register(api) function in a Python file under ~/.vtx/agent/extensions/. Extensions can override built-in tools by name and chain handler logic across subscribers.

Apache 2.0. uv tool install vtx-coding-agent and you're running.

GitHub: https://github.com/OEvortex/vtx-coding-agent
PyPI: https://pypi.org/project/vtx-coding-agent

Built in the open. Feedback, extensions, and PRs welcome.
prithivMLmodsย 
posted an update 3 months ago
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Wan2.2-I2V-Fast with highly upscaled sequential frame sampling is now available as a Spaces demo, built using Wan2.2-I2V and FLUX.2-Klein. Try the demo using the links below.๐Ÿ‘‡

โž  wan2.2-i2v-fast : prithivMLmods/Wan2.2-Fast
โž  github: https://github.com/prithivsakthiur/wan2.2-i2v-fast
โž  collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

โคท To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 3 months ago
prithivMLmodsย 
posted an update 3 months ago
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PiD โ€” Pixel Diffusion Decoder Image Edit Upscale and Image Generation Upscale, an all-in-one demo, is now live on Spaces! Great improvements in realism-based image generation and editing are powered by FLUX.2-Klein, while image generation is paired with Z-Image, and upscaling is enabled by default!

๐Ÿค— Space: prithivMLmods/PiD-Image-Upscaler
๐Ÿ”— Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

๐Ÿค— > To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 4 months ago
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I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached โ€œSpace of the Weekโ€! A few Spaces are still topping the list even after many months.

Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.

Thanks for all the community support! ๐Ÿค—โค๏ธ

๐Ÿ”— Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
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Shrijanagainย 
posted an update 4 months ago
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We are pleased to announce that the W-IMG Vision Dataset infrastructure is officially live.

The complete asset infrastructure is now accessible on Hugging Face for internal validation and architecture scaling targets.

Dataset Endpoint - sKT-Ai-Labs/W-IMG

#SovereignAI #ComputerVision #MachineLearning #OpenSource
Ksgk-fyย 
authored a paper 4 months ago
Ksgk-fyย 
submitted a paper to Daily Papers 4 months ago
prithivMLmodsย 
posted an update 4 months ago
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Multimodal-Edge Demo, a node-based inference canvas demo, is now live on Spaces. It features node-based Transformers for fast inference across 10+ edge-device multimodal models on the Hub, all within a single space. The series includes models from Qwen3.5, Qwen3-VL, Gemma 4, and the LFM 2.5 VL model series, with support for reasoning and grounding tasks.

๐Ÿค— Demo: prithivMLmods/Multimodal-Edge-Node
๐Ÿ”— GitHub: https://github.com/PRITHIVSAKTHIUR/Multimodal-Edge-Node
โœ… Multimodal Apps Collections: https://huggingface.co/collections/prithivMLmods/hall-of-multimodal-apps

๐Ÿค— > To learn more, visit the app page or the respective model pages.