✨ MoE model 2025
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Chinese LLMs on Hugging Face
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AdinaY
updated
2
collections
about 4 hours ago
zhangysk
authored
a
paper
about 4 hours ago
Post
404
Qwen2.5-VL-32B-Instruct 🔥 @Alibaba_Qwen just released this new user friendly VLM model on the hub
Model: Qwen/Qwen2.5-VL-32B-Instruct
Demo: Qwen/Qwen2.5-VL-32B-Instruct
Model: Qwen/Qwen2.5-VL-32B-Instruct
Demo: Qwen/Qwen2.5-VL-32B-Instruct
AdinaY
updated
2
collections
about 20 hours ago
prithivMLmods
posted
an
update
about 24 hours ago
Post
1128
Dropping Downstream tasks using newly initialized parameters and weights ([classifier.bias & weights]) support domain-specific 𝗶𝗺𝗮𝗴𝗲 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻. Based on siglip2-base-patch16-224 and DomainNet (single-domain, multi-source adaptation), with Fashion-MNIST for experimental testing. 🧤☄️
Fashion-Mnist : prithivMLmods/Fashion-Mnist-SigLIP2
Multisource-121 : prithivMLmods/Multisource-121-DomainNet
Painting-126 : prithivMLmods/Painting-126-DomainNet
Sketch-126 : prithivMLmods/Sketch-126-DomainNet
Clipart-126 : prithivMLmods/Clipart-126-DomainNet
Models are trained with different parameter settings for experimental purposes only, with the intent of further development. Refer to the model page below for instructions on running it with Transformers 🤗.
Collection : prithivMLmods/domainnet-0324-67e0e3c934c03cc40c6c8782
Citations : SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features https://arxiv.org/pdf/2502.14786 & Moment Matching for Multi-Source Domain Adaptation : https://arxiv.org/pdf/1812.01754
Fashion-Mnist : prithivMLmods/Fashion-Mnist-SigLIP2
Multisource-121 : prithivMLmods/Multisource-121-DomainNet
Painting-126 : prithivMLmods/Painting-126-DomainNet
Sketch-126 : prithivMLmods/Sketch-126-DomainNet
Clipart-126 : prithivMLmods/Clipart-126-DomainNet
Models are trained with different parameter settings for experimental purposes only, with the intent of further development. Refer to the model page below for instructions on running it with Transformers 🤗.
Collection : prithivMLmods/domainnet-0324-67e0e3c934c03cc40c6c8782
Citations : SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features https://arxiv.org/pdf/2502.14786 & Moment Matching for Multi-Source Domain Adaptation : https://arxiv.org/pdf/1812.01754
Post
1980
FlexWorld 🔥 an open framework that generates 3D scenes from a single image!
Model: GSAI-ML/FlexWorld
Paper: FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis (2503.13265)
✨ 360° rotation & zooming
✨ High quality novel views powered by video-to-video diffusion model
✨ Progressive 3D expansion
Model: GSAI-ML/FlexWorld
Paper: FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis (2503.13265)
✨ 360° rotation & zooming
✨ High quality novel views powered by video-to-video diffusion model
✨ Progressive 3D expansion
prithivMLmods
posted
an
update
5 days ago
Post
2168
Play with Orpheus TTS, a Llama-based Speech-LLM designed for high-quality, empathetic text-to-speech generation. This model has been fine-tuned to deliver human-level speech synthesis 🔥🗣️
👉GitHub [ Demo ] : https://github.com/PRITHIVSAKTHIUR/Orpheus-TTS-Edge
Demo supporting both text-to-speech and text-to-llm responses in speech.
> voice: tara, dan, emma, josh
> emotion: <laugh>, <chuckle>, <sigh>, <cough>, <sniffle>, <groan>, <yawn>, <gasp>.
🥠Orpheus-3b-0.1-ft
Model Page: canopylabs/orpheus-3b-0.1-ft
🥠Orpheus-3b-0.1-ft
Colab Inference Notebook: https://colab.research.google.com/drive/1KhXT56UePPUHhqitJNUxq63k-pQomz3N?usp=sharing
🥠Finetune [ orpheus-3b-0.1-pretrained ]
Resource: https://github.com/canopyai/Orpheus-TTS/tree/main/finetune
🥠Model-releases:
https://canopylabs.ai/model-releases
👉GitHub [ Demo ] : https://github.com/PRITHIVSAKTHIUR/Orpheus-TTS-Edge
Demo supporting both text-to-speech and text-to-llm responses in speech.
> voice: tara, dan, emma, josh
> emotion: <laugh>, <chuckle>, <sigh>, <cough>, <sniffle>, <groan>, <yawn>, <gasp>.
🥠Orpheus-3b-0.1-ft
Model Page: canopylabs/orpheus-3b-0.1-ft
🥠Orpheus-3b-0.1-ft
Colab Inference Notebook: https://colab.research.google.com/drive/1KhXT56UePPUHhqitJNUxq63k-pQomz3N?usp=sharing
🥠Finetune [ orpheus-3b-0.1-pretrained ]
Resource: https://github.com/canopyai/Orpheus-TTS/tree/main/finetune
🥠Model-releases:
https://canopylabs.ai/model-releases
- 1 reply
AdinaY
updated
a
Space
5 days ago
Post
1373
Step-Video-TI2V 🔥 text driven Image-to-Video Model released by StepFun_ai
Paper:
Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model (2503.11251)
Model:
stepfun-ai/stepvideo-ti2v
✨ 30B with MIT license
✨ Up to 102 frames from text + image inputs
✨ Supports motion control and anime-style
Paper:
Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model (2503.11251)
Model:
stepfun-ai/stepvideo-ti2v
✨ 30B with MIT license
✨ Up to 102 frames from text + image inputs
✨ Supports motion control and anime-style
AdinaY
updated
a
collection
6 days ago
zhangysk
authored
a
paper
6 days ago
KennyUTC
authored
a
paper
6 days ago
Post
2833
RWKV7-G1 0.1B 🔥 Pure RNN reasoning model released by RWKV
Model: BlinkDL/rwkv7-g1
paper: RWKV-7 "Goose" with Expressive Dynamic State Evolution (2503.14456)
✨ Apache2.0
✨ Supports 100+ languages
✨ 0.1 B runs smoothly on low power devices
✨ 0.4B/1.5B/2.9B are coming soon!!
Model: BlinkDL/rwkv7-g1
paper: RWKV-7 "Goose" with Expressive Dynamic State Evolution (2503.14456)
✨ Apache2.0
✨ Supports 100+ languages
✨ 0.1 B runs smoothly on low power devices
✨ 0.4B/1.5B/2.9B are coming soon!!
- 1 reply
AdinaY
updated
2
collections
6 days ago
Post
2052
Skywork-R1V🚀 38B open multimodal reasoning model with advanced visual CoT capabilities, released by Skywork.
Skywork/Skywork-R1V-38B
✨ Visual Reasoning: Breaks down complex images step by step.
✨ Math & Science: Solves visual problems with high precision.
✨ Combines text & images for deeper understanding.
Skywork/Skywork-R1V-38B
✨ Visual Reasoning: Breaks down complex images step by step.
✨ Math & Science: Solves visual problems with high precision.
✨ Combines text & images for deeper understanding.