LFM2 is a family of hybrid models designed for on-device deployment. LFM2-24B-A2B is the largest model in the family, scaling the architecture to 24 billion parameters while keeping inference efficient.
916.1K Pulls 6 Tags Updated 1 week ago
Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.
543K Pulls 30 Tags Updated 2 days ago
MiniMax-M2.5 is a state-of-the-art large language model designed for real-world productivity and coding tasks.
82.5K Pulls 1 Tag Updated 3 weeks ago
A strong reasoning and agentic model from Z.ai with 744B total parameters (40B active), built for complex systems engineering and long-horizon tasks.
78.1K Pulls 1 Tag Updated 3 weeks ago
Qwen3-Coder-Next is a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.
729K Pulls 4 Tags Updated 3 weeks ago
LFM2.5 is a new family of hybrid models designed for on-device deployment.
936.7K Pulls 5 Tags Updated 1 month ago
A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.
492.9K Pulls 13 Tags Updated 1 month ago
The most powerful vision-language model in the Qwen model family to date.
1.8M Pulls 59 Tags Updated 4 months ago
As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.
367.1K Pulls 4 Tags Updated 1 month ago
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
1.1M Pulls 12 Tags Updated 5 months ago
The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware.
529.1K Pulls 16 Tags Updated 2 months ago
Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.
763.5K Pulls 17 Tags Updated 4 months ago
The first installment in the Qwen3-Next series with strong performance in terms of both parameter efficiency and inference speed.
355.8K Pulls 10 Tags Updated 2 months ago
Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models.
335K Pulls 6 Tags Updated 2 months ago
Kimi K2.5 is an open-source, native multimodal agentic model that seamlessly integrates vision and language understanding with advanced agentic capabilities, instant and thinking modes, as well as conversational and agentic paradigms.
117K Pulls 1 Tag Updated 1 month ago
DeepSeek-OCR is a vision-language model that can perform token-efficient OCR.
308.6K Pulls 3 Tags Updated 3 months ago
Nemotron 3 Nano - A new Standard for Efficient, Open, and Intelligent Agentic Models
192.3K Pulls 6 Tags Updated 2 months ago
GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture.
60.1K Pulls 3 Tags Updated 1 month ago
Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.
179.8K Pulls 15 Tags Updated 2 months ago
24B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.
175.7K Pulls 6 Tags Updated 2 months ago