LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With R…
Description: The NVIDIA Kimi-K2.5-NVFP4 model is the quantized version of the Moonshot AI's Kimi-K2.5 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Kimi-K2.5 NVFP4 model is qu…
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We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With R…
📖 View the GLM-4.1V-9B-Thinking paper . 📍 Using GLM-4.1V-9B-Thinking API at Zhipu Foundation Model Open Platform
Description: The NVIDIA Kimi-K2.6-NVFP4 model is the quantized version of the Moonshot AI's Kimi-K2.6 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Kimi-K2.6 NVFP4 model is qu…
py from mistral common.tokens.tokenizers.mistral import MistralTokenizer from mistral common.protocol.instruct.messages import UserMessage from mistral common.protocol.instruct.request import ChatCompletionRequest
OLMoE-1B-7B-0125-Instruct January 2025 is post-trained variant of the OLMoE-1B-7B January 2025 model, which has undergone supervised finetuning on an OLMo-specific variant of the Tülu 3 dataset and further DPO training on this dataset, and finally RLVR training using this data. T…
Model Download Evaluation Results Model Architecture API Platform License Citation
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