(1)
An open-source visual language model that interprets images via text prompts, fast and powerful.
9m
7.9K
2
FunctionGemma is a 270M open model for fine-tuned, offline function-calling agents on small devices.
6m
7.4K
1
Granite Embedding Multilingual is a 278 million parameter, encoder‑only XLM‑RoBERTa‑style
11m
7.4K
4
32B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.
10m
6.6K
1
3B long-context instruct model with RL alignment, IF, tool calling, and enterprise readiness.
10m
5.7K
2
Granite-4.0-h-nano: lightweight instruct model trained via SFT, RL, and merging on diverse data.
9m
5.5K
1
Snowflake’s Arctic-Embed v2.0 boosts multilingual retrieval and efficiency
8m
5.4K
Embedding Gemma is a state-of-the-art text embedding model from Google DeepMind
9m
4.5K
3B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.
10m
4.1K
all-MiniLM-L6-v2 is a sentence-transformers, maps sentences & paragraphs to a 384 dimensional vector
9m
3.8K
1
Multilingual MoE text embedding model with 768D vectors, 100 languages, 512 token context
3m
3.5K
Google’s latest Gemma, small yet strong for chat and generation
1m
1.2K
744B MoE language model with 40B active params for reasoning, coding, and agentic tasks (FP8)
5m
963
SmolVLM: lightweight multimodal model for video, image, and text analysis, optimized for devices
6m
830
Image generation model, uses a base latent diffusion model plus a refiner.
6m
809
30.5B MoE coding model with tool calling, browser automation, and 256K context support
5m
804
Ministral 3: compact vision-enabled model with near-24B performance, optimized for local edge use
7m
801
9B multimodal model with vision, speech, and full-duplex streaming for text, image, video, audio
5m
789
TranslateGemma: lightweight Gemma 3–based translation models for 55 languages, deployable anywhere
6m
756
Google’s latest Gemma, in its QAT (quantization aware trained) variant
10m
729
TranslateGemma: lightweight Gemma 3–based translation models for 55 languages, deployable anywhere
6m
714
Ministral 3: compact vision-enabled model with near-24B performance, optimized for local edge use
7m
673