(1)
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
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
12m
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
Multimodal LLM with 35B parameters for coding, agentic tasks, and vision-language understanding
5m
10K+
119B parameter hybrid model with reasoning, vision, and code capabilities (1M token context)
5m
10K+
1
IBM's Granite 3.0 large language model (LLM), optimized for local large language model operations
2y
10K+
1
7B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.
12m
10K+
4
32B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.
12m
10K+
1
An open-source visual language model that interprets images via text prompts, fast and powerful.
11m
10K+
2
3B long-context instruct model with RL alignment, IF, tool calling, and enterprise readiness.
12m
10K+
2
Snowflake’s Arctic-Embed v2.0 boosts multilingual retrieval and efficiency
10m
10K+