Qwen3 Embedding: multilingual models for advanced text/ranking tasks like retrieval & clustering.
11m
10K+
2
FunctionGemma is a 270M open model for fine-tuned, offline function-calling agents on small devices.
9m
10K+
1
all-MiniLM-L6-v2 is a sentence-transformers, maps sentences & paragraphs to a 384 dimensional vector
11m
10K+
1
Embedding Gemma is a state-of-the-art text embedding model from Google DeepMind
11m
10K+
1
Multilingual reranking model for text retrieval, scoring document relevance across 119 languages.
10m
10K+
3
Multilingual reranking model for text retrieval, scoring document relevance across 119 languages.
10m
10K+
744B MoE language model with 40B active params for reasoning, coding, and agentic tasks (FP8)
8m
10K+
5
SmolVLM: lightweight multimodal model for video, image, and text analysis, optimized for devices
11m
10K+
2
OpenAI’s open-weight models designed for powerful reasoning, agentic tasks
11m
10K+
2
DEPRECATED; use https://github.com/moby/moby/blob/master/Dockerfile
10y
1M+
107
Designed for reasoning, agent and general capabilities, and versatile developer-friendly features
1y
10K+
2
24B multimodal instruction model by Mistral AI, tuned for accuracy, tool use & fewer repeats
1y
10K+
1
Granite-4.0-nano: lightweight instruct model trained via SFT, RL, and merging on diverse data.
11m
10K+
SmolVLM: lightweight multimodal model for video, image, and text analysis, optimized for devices.
12m
10K+
4
119B parameter hybrid model with reasoning, vision, and code capabilities (1M token context)
6m
10K+
1
Multimodal LLM with 35B parameters for coding, agentic tasks, and vision-language understanding
6m
10K+