LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
📰 Tech Blog 📄 Paper
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…
Join Our 💬 WeChat 🧩 Discord community. MiniMax Agent ⚡️ API MCP MiniMax Website 🤗 Hugging Face 🚀 Hugging Face API 🐙 GitHub 🤖️ ModelScope 📄 License: Modified-MIT
BLOOM LM BigScience Large Open-science Open-access Multilingual Language Model Model Card
BLIP-2 model, leveraging OPT-2.7b (a large language model with 2.7 billion parameters). It was introduced in the paper BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models by Li et al. and first released in this repository.
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 Qwen3-8B FP8 model is the quantized version of Alibaba's Qwen3-8B model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Qwen3-8B FP8 model is quantized with Te…
NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-NVFP4
👋 Join our WeChat or Discord community. 📖 Check out the GLM-5.1 blog and GLM-5 Technical report . 📍 Use GLM-5.1 API services on Z.ai API Platform. 🔜 GLM-5.1 will be available on chat.z.ai in the coming days.