Post
70
Created a new benchmark called "Sleight of Word" (Accepted at INLG 2026)
https://fractalego.github.io/Sleight-of-Word/
https://arxiv.org/abs/2608.29921
https://fractalego.github.io/Sleight-of-Word/
https://arxiv.org/abs/2608.29921
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fractalego
posted an update 1 day ago
prithivMLmods
posted an update 1 day ago
Post
1955
OneDecision-VisionGuard-Demo is now available on Hugging Face Spaces!
🤗 Space: prithivMLmods/OneDecision-VisionGuard-Demo
This demo showcases the OneDecision-VisionGuard family of multimodal image classification models for detecting NSFW and other sensitive visual content, with structured JSON reasoning, improved accuracy, and better handling of edge cases such as sensitive imagery, uncensored analysis, scene descriptions, and classification reasoning.
📦 Models: 27B, 9B, 4B — prithivMLmods/OneDecision-VisionGuard-27B-SFT, prithivMLmods/OneDecision-VisionGuard-9B-SFT, prithivMLmods/OneDecision-VisionGuard-4B-SFT
↗️ Collection: https://huggingface.co/collections/prithivMLmods/onedecision-visionguard
To learn more, visit the app page or the respective model pages.
🤗 Space: prithivMLmods/OneDecision-VisionGuard-Demo
This demo showcases the OneDecision-VisionGuard family of multimodal image classification models for detecting NSFW and other sensitive visual content, with structured JSON reasoning, improved accuracy, and better handling of edge cases such as sensitive imagery, uncensored analysis, scene descriptions, and classification reasoning.
📦 Models: 27B, 9B, 4B — prithivMLmods/OneDecision-VisionGuard-27B-SFT, prithivMLmods/OneDecision-VisionGuard-9B-SFT, prithivMLmods/OneDecision-VisionGuard-4B-SFT
↗️ Collection: https://huggingface.co/collections/prithivMLmods/onedecision-visionguard
To learn more, visit the app page or the respective model pages.
Post
109
Hi! We open-source PrunaSuperPoint in collaboration with Eclipse Aidge for the DeepGreen project
It's an optimized version of SuperPoint built for faster keypoint detection on edge devices.
- Up to 2.1× faster on Jetson Orin Nano, with optimizations applicable to other runtimes.
- The distilled model retains strong keypoint coverage across indoor and outdoor data, with low descriptor differences from the original model.
- We structurally prune the most expensive convolutional layers, recover performance through distillation, and accelerate keypoint selection with hierarchical top-k, all while preserving the original architecture’s core behavior.
Check it here: PrunaAI/PrunaSuperPoint
It's an optimized version of SuperPoint built for faster keypoint detection on edge devices.
- Up to 2.1× faster on Jetson Orin Nano, with optimizations applicable to other runtimes.
- The distilled model retains strong keypoint coverage across indoor and outdoor data, with low descriptor differences from the original model.
- We structurally prune the most expensive convolutional layers, recover performance through distillation, and accelerate keypoint selection with hierarchical top-k, all while preserving the original architecture’s core behavior.
Check it here: PrunaAI/PrunaSuperPoint
Post
1164
Just launched Qwen Image 2.1 Uncensored All-In-One LoRA Studio on @huggingface #ZeroGPU! Includes 15+ on-demand
LoRAs (Turbo 4-step, Anime, Photoreal, FaceSwap) with 0 data retention: arudradey/qwen-image-2.1-uncensored-aio-loras
LoRAs (Turbo 4-step, Anime, Photoreal, FaceSwap) with 0 data retention: arudradey/qwen-image-2.1-uncensored-aio-loras
prithivMLmods
posted an update 15 days ago
Post
3902
Qwen-Image-2.1 Plug and Play LoRA App is now live on Hugging Face Spaces.
🔗 Space: prithivMLmods/Qwen-Image-2.1-LoRAs-PnP
It supports standard inference, 4-step Turbo inference, custom LoRA lazy repacks, and LoRA Plug and Play (PnP), all in one setting!
🔗 Qwen-Image-2.1 Image-to-Image LoRAs: https://huggingface.co/collections/prithivMLmods/qwen-image-21-image-to-image-loras
🔗 GitHub: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-2.1-LoRAs-PnP
To learn more, visit the app page or the respective model pages.
🔗 Space: prithivMLmods/Qwen-Image-2.1-LoRAs-PnP
It supports standard inference, 4-step Turbo inference, custom LoRA lazy repacks, and LoRA Plug and Play (PnP), all in one setting!
🔗 Qwen-Image-2.1 Image-to-Image LoRAs: https://huggingface.co/collections/prithivMLmods/qwen-image-21-image-to-image-loras
🔗 GitHub: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-2.1-LoRAs-PnP
To learn more, visit the app page or the respective model pages.
Post
163
🚀 **Introducing NoviAIBot!**
NoviAIBot is the official automation bot for **Novi AI** on Hugging Face.
It can interact with Hugging Face discussions and pull requests, search the web, run Python code, work with Posts, follow organizations, and assist with model training and publishing.
🧠 Powered by **NVIDIA Nemotron 3 Super** through Ollama Cloud, with each discussion maintaining its own recent conversation context.
NoviAIBot is built to make working with Novi AI and Hugging Face more interactive and automated.
**The bot is now live.** 🤖
→ @NoviAIBot
NoviAIBot is the official automation bot for **Novi AI** on Hugging Face.
It can interact with Hugging Face discussions and pull requests, search the web, run Python code, work with Posts, follow organizations, and assist with model training and publishing.
🧠 Powered by **NVIDIA Nemotron 3 Super** through Ollama Cloud, with each discussion maintaining its own recent conversation context.
NoviAIBot is built to make working with Novi AI and Hugging Face more interactive and automated.
**The bot is now live.** 🤖
→ @NoviAIBot
- 44 replies
prithivMLmods
posted an update 23 days ago
Post
841
VisionGuardrail EVO-2, a multimodal image-classification content-safety model based on Qwen/Qwen3.8-27B, is now available on the Hub!
Stricter image classification than before, with a dense 27-billion-parameter multimodal model, more precise reasoning, and improved captions for classifying visual media.
➠ Models: prithivMLmods/VisionGuardrail-Evo2-27B, prithivMLmods/VisionGuardrail-Evo2-27B-GGUF
➠ Collection: https://huggingface.co/collections/prithivMLmods/visionguardrail-evo2
➠ Previous Models: https://huggingface.co/collections/prithivMLmods/visionguardrail-collection
⤷ To learn more, visit the app page or the respective model pages.
Stricter image classification than before, with a dense 27-billion-parameter multimodal model, more precise reasoning, and improved captions for classifying visual media.
➠ Models: prithivMLmods/VisionGuardrail-Evo2-27B, prithivMLmods/VisionGuardrail-Evo2-27B-GGUF
➠ Collection: https://huggingface.co/collections/prithivMLmods/visionguardrail-evo2
➠ Previous Models: https://huggingface.co/collections/prithivMLmods/visionguardrail-collection
⤷ To learn more, visit the app page or the respective model pages.
prithivMLmods
posted an update 26 days ago
Post
489
Scribble-Board-Fast is a sketch-to-image workspace powered by Klein-9B, transforming doodles, brush strokes, stickers, and uploaded images into high-fidelity visuals with 4-step distilled sampling.
> Space: prithivMLmods/Scribble-Board-Fast
> GitHub: https://github.com/PRITHIVSAKTHIUR/Scribble-Board-Fast
> To learn more, visit the app page or the respective model pages.
> Space: prithivMLmods/Scribble-Board-Fast
> GitHub: https://github.com/PRITHIVSAKTHIUR/Scribble-Board-Fast
> To learn more, visit the app page or the respective model pages.
help
#13 opened about 1 month ago
by 
NILKNARFGonzo
prithivMLmods
posted an update about 1 month ago
Post
3868
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:
➠ hf.co/blog — https://huggingface.co/blog/prithivMLmods/vision-guardrail-mini-blog
➠ Models:
✦ VisionGuardrail-4B: prithivMLmods/VisionGuardrail-4B
✦ VisionGuardrail-9B: prithivMLmods/VisionGuardrail-9B
➠ Dataset:
✦ ImageShield-Guardrail-Pro: prithivMLmods/ImageShield-Guardrail-Pro
⤷ To learn more, visit the app page or the respective model pages.
More About:
➠ hf.co/blog — https://huggingface.co/blog/prithivMLmods/vision-guardrail-mini-blog
➠ Models:
✦ VisionGuardrail-4B: prithivMLmods/VisionGuardrail-4B
✦ VisionGuardrail-9B: prithivMLmods/VisionGuardrail-9B
➠ Dataset:
✦ ImageShield-Guardrail-Pro: prithivMLmods/ImageShield-Guardrail-Pro
⤷ To learn more, visit the app page or the respective model pages.
Post
2884
SPECK 2 IS ALREADY OUT: specklabs/Speck2-140M
Pretrained on 4x more tokens than the previous releases (20b vs 5b).
Instruct tuned versions are coming soon.
Very interesting models are coming soon too (hint: super long context).
Thanks for everyone supporting!
Pretrained on 4x more tokens than the previous releases (20b vs 5b).
Instruct tuned versions are coming soon.
Very interesting models are coming soon too (hint: super long context).
Thanks for everyone supporting!
- 3 replies
prithivMLmods
posted an update about 1 month ago
Post
3109
ImageShield-MMCF — 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.
⊹ ImageShield-MMCF-0.8B: prithivMLmods/ImageShield-MMCF-0.8B
⊹ ImageShield-MMCF-2B: prithivMLmods/ImageShield-MMCF-2B
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.
⊹ ImageShield-MMCF-0.8B: prithivMLmods/ImageShield-MMCF-0.8B
⊹ ImageShield-MMCF-2B: prithivMLmods/ImageShield-MMCF-2B
- 2 replies
Post
159
NEW SPECK UPDATES:
Just hit #14 and #15 with out FIRST models on Open SLM Leaderboard. The models were trained on 5B tokens, while competing with similarly sized models trained on more than 6-20x the data.
A new base model Speck1.5-140M being trained right now on a higher quality corpus and will be released soon.
SpeckChat3 is coming very soon with 1 million samples, specifically designed to post train small base models.
Also, just to clarify stuff, we will NOT release anything that is NOT MIT licensed EVER. Openness is needed in small language research.
Thanks to everyone supporting the project, and stay tuned for new releases!
Just hit #14 and #15 with out FIRST models on Open SLM Leaderboard. The models were trained on 5B tokens, while competing with similarly sized models trained on more than 6-20x the data.
A new base model Speck1.5-140M being trained right now on a higher quality corpus and will be released soon.
SpeckChat3 is coming very soon with 1 million samples, specifically designed to post train small base models.
Also, just to clarify stuff, we will NOT release anything that is NOT MIT licensed EVER. Openness is needed in small language research.
Thanks to everyone supporting the project, and stay tuned for new releases!
Post
1893
SPECK UPDATES:
1 New instruct model tuned on top of Speck1-140M: specklabs/Speck1-140M-Instruct
2 Instruction tuning datasets
2 GGUFs
Much more coming soon:
Speck1.1-140M-Instruct that is post trained on SpeckChat2 will be coming very soon
New base model Speck1.5-140M is coming with a much higher quality corpus
Thanks to everyone who is already supporting the project, and stay tuned for new releases!
1 New instruct model tuned on top of Speck1-140M: specklabs/Speck1-140M-Instruct
2 Instruction tuning datasets
2 GGUFs
Much more coming soon:
Speck1.1-140M-Instruct that is post trained on SpeckChat2 will be coming very soon
New base model Speck1.5-140M is coming with a much higher quality corpus
Thanks to everyone who is already supporting the project, and stay tuned for new releases!
- 3 replies
Post
2130
FIRST SPECK MODEL RELEASED:
specklabs/Speck1-140M
new models coming very soon (both instruct and much better models), with much much higher training scale as i am getting marenostrum5 access soon!
we will be looking at 100b-2t token budgets :)
specklabs/Speck1-140M
new models coming very soon (both instruct and much better models), with much much higher training scale as i am getting marenostrum5 access soon!
we will be looking at 100b-2t token budgets :)
- 4 replies
Post
143
P-Bench: new public benchmark for T2I models
- Compare optimized or accelerated endpoints on quality, speed, and price.
- Analyze the paretos
- Explore the samples
Check it here 👉 PrunaAI/P-Bench
- Compare optimized or accelerated endpoints on quality, speed, and price.
- Analyze the paretos
- Explore the samples
Check it here 👉 PrunaAI/P-Bench
prithivMLmods
posted an update about 2 months ago
Post
5295
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
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
Q-bert
authored a
paper 2 months ago