2B instruct Gemma model by Google: lightweight, open, text-to-text LLM for QA, summarization, reasoning, and resource-efficient deployment.
Try this modelMultimodal LLM optimized for visual recognition, image reasoning, captioning, and answering image-related questions.
Try this modelMoE LLM trained from scratch and specialized in few-turn interactions for enhanced performance.
Try this modelLightweight Gemma 3 model with 128K context, vision-language input, and multilingual support for on-device AI.
Try this modelLightweight Gemma 3 model (1B) with 128K context, vision-language input, and multilingual support for on-device AI.
Try this modelMost lightweight Gemma 3 model, with 128K context, vision-language input, and multilingual support for on-device AI.
Try this modelSmall Qwen 1.5B distilled with reasoning capabilities from Deepseek R1. Beats GPT-4o on MATH-500 whilst being a fraction of the size.
Try this modelQwen 14B distilled with reasoning capabilities from Deepseek R1. Outperforms GPT-4o in math & matches o1-mini on coding.
Try this modelLlama 70B distilled with reasoning capabilities from Deepseek R1. Surpasses GPT-4o with 94.5% on MATH-500 & matches o1-mini on coding.
Try this modelMultilingual LLM pre-trained and instruction-tuned, surpassing open and closed models on key benchmarks.
Try this modelLightweight, SOTA open models from Google, leveraging research and tech behind the Gemini models.
Try this modelMultilingual LLM pre-trained and instruction-tuned, surpassing open and closed models on key benchmarks.
Try this model70B multilingual LLM, pretrained and instruction-tuned, excels in dialogue use cases, surpassing open and closed models.
Try this modelBest-in-class open-source LLM trained with IDA for alignment, reasoning, and self-reflective, agentic applications.
Try this modelCustom NVIDIA LLM optimized to enhance the helpfulness and relevance of generated responses to user queries.
Try this modelBest-in-class open-source LLM trained with IDA for alignment, reasoning, and self-reflective, agentic applications.
Try this model24B model rivaling GPT-4o mini, and larger models like Llama 3.3 70B. Ideal for chat use cases like customer support, translation and summarization.
Try this modelBest-in-class open-source LLM trained with IDA for alignment, reasoning, and self-reflective, agentic applications.
Try this modelBest-in-class open-source LLM trained with IDA for alignment, reasoning, and self-reflective, agentic applications.
Try this model