netflix/void-model
Video-to-Video β’ Updated β’ 887
Salim Al Sazu
salimalsazu
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liked a model 2 days ago
netflix/void-model updated a Space about 1 month ago
salimalsazu/smart-category-detector published a Space about 1 month ago
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reacted to mitkox's post with π 4 months ago
Post
2420
Got to 1199.8 tokens/sec with Devstral Small -2 on my desktop GPU workstation. vLLM nightly.
Works out of the box with Mistral Vibe. Next is time to test the big one.
Works out of the box with Mistral Vibe. Next is time to test the big one.
- 3 replies
reacted to MonsterMMORPG's post with π₯ 4 months ago
Post
3299
Whisper-WebUI Premium - Ultra Fast and High Accuracy Speech to Text Transcripton App for All Languages - Windows, RunPod, Massed Compute 1-Click Installers - Supporting RTX 1000 to 5000 series
Latest installer zip file : https://www.patreon.com/posts/145395299
New Features
Password protected version, password is just 1 : WhisperWeb_UI_v1_password_is_1.zip
It has better interface, more features, default settings set for maximum accuracy
It will show transcription realtime both on Gradio interface and also on CMD
It will show better status and output at the cmd like starting time, starting file, etc
It will save every generated transcription properly with same name as input file name with proper name sanitization
After deep scan of the entire pipeline, default parameters are set for maximum accuracy and quality
1-Click installers for Windows local PC, RunPod (Linux-Cloud) and Massed Compute (Linux-Cloud)
The app the installers are made for RTX 1000 series to RTX 5000 series with pre-compiled libraries
We install with Torch 2.8, CUDA 12.9, latest Flash Attention, Sage Attention, xFormers - all precompiled
As low as 6 GB VRAM GPUs can use
OpenAI Whisper Supported Models:
tiny.en, tiny, base.en, base, small.en, small, medium.en, medium, large-v1, large-v2, large-v3, large, large-v3-turbo, turbo
Distil-Whisper Supported Models (Faster-Whisper & Insanely-Fast-Whisper):
distil-large-v2, distil-large-v3, distil-medium.en, distil-small.en
100 languages are supported
Latest installer zip file : https://www.patreon.com/posts/145395299
New Features
Password protected version, password is just 1 : WhisperWeb_UI_v1_password_is_1.zip
It has better interface, more features, default settings set for maximum accuracy
It will show transcription realtime both on Gradio interface and also on CMD
It will show better status and output at the cmd like starting time, starting file, etc
It will save every generated transcription properly with same name as input file name with proper name sanitization
After deep scan of the entire pipeline, default parameters are set for maximum accuracy and quality
1-Click installers for Windows local PC, RunPod (Linux-Cloud) and Massed Compute (Linux-Cloud)
The app the installers are made for RTX 1000 series to RTX 5000 series with pre-compiled libraries
We install with Torch 2.8, CUDA 12.9, latest Flash Attention, Sage Attention, xFormers - all precompiled
As low as 6 GB VRAM GPUs can use
OpenAI Whisper Supported Models:
tiny.en, tiny, base.en, base, small.en, small, medium.en, medium, large-v1, large-v2, large-v3, large, large-v3-turbo, turbo
Distil-Whisper Supported Models (Faster-Whisper & Insanely-Fast-Whisper):
distil-large-v2, distil-large-v3, distil-medium.en, distil-small.en
100 languages are supported
reacted to jeffboudier's post with π₯ 8 months ago
Post
3301
Quick 30s demo of the new Hub > Azure AI integration to deploy HF models in your own Azure account. Now with Py and CLI!
GG @alvarobartt @kramp @pagezyhf
GG @alvarobartt @kramp @pagezyhf
reacted to AdinaY's post with π₯ 8 months ago
Post
5122
MiniCPM-V 4.5 π New MLLM for image, multi-image & video understanding, running even on your phone, released by OpenBMB
openbmb/MiniCPM-V-4_5
β¨ SOTA vision language capability
β¨ 96Γ video token compression > high-FPS & long video reasoning
β¨ Switchable fast vs deep thinking modes
β¨ Strong OCR, document parsing, supports 30+ languages
openbmb/MiniCPM-V-4_5
β¨ SOTA vision language capability
β¨ 96Γ video token compression > high-FPS & long video reasoning
β¨ Switchable fast vs deep thinking modes
β¨ Strong OCR, document parsing, supports 30+ languages
replied to prithivMLmods's post 8 months ago
love this :)
reacted to prithivMLmods's post with π€ 8 months ago
Post
5208
OpenGVLab's InternVL3_5-2B-MPO [Mixed Preference Optimization (MPO)] is a compact vision-language model in the InternVL3.5 series. You can now experience it in the Tiny VLMs Lab, an app featuring 15+ multimodal VLMs ranging from 250M to 4B parameters. These models support tasks such as OCR, reasoning, single-shot answering with small models, and captioning (including ablated variants), across a broad range of visual categories. They are also capable of handling images with complex, sensitive, or nuanced content, while adapting to varying aspect ratios and resolutions.
β¨ Space/App : https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab
π« Model : OpenGVLab/InternVL3_5-2B-MPO
βοΈ Collection: OpenGVLab/internvl35-68ac87bd52ebe953485927fb
ποΈ Paper : https://arxiv.org/pdf/2508.18265
βοΈ Multimodal Space Collection : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
To learn more, visit the relevant spaces, collections, and model cards.
β¨ Space/App : https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab
π« Model : OpenGVLab/InternVL3_5-2B-MPO
βοΈ Collection: OpenGVLab/internvl35-68ac87bd52ebe953485927fb
ποΈ Paper : https://arxiv.org/pdf/2508.18265
βοΈ Multimodal Space Collection : prithivMLmods/multimodal-implementations-67c9982ea04b39f0608badb0
To learn more, visit the relevant spaces, collections, and model cards.
- 2 replies