LLM Models · Open Source
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
Description: The NVIDIA Qwen3.8-Flash-Next NVFP4 model is the quantized version of Alibaba's Qwen3.8-Flash-Next model, which is an auto-regressive language model that uses an optimized transformer architecture. Qwen3.8-Flash-Next is a causal language model with a vision encoder,…
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
[!Note] This repository contains FP8-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. The quantization method is fin…
[!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.
Description: The NVIDIA Qwen3.6-27B NVFP4 model is the quantized version of Alibaba's Qwen3.6-27B model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Qwen3.6-27B NVFP4 model is quan…
🤗 HuggingFace 📰 Blog 🎨 Xiaomi MiMo API Platform 🗨️ Xiaomi MiMo Studio
🤗 HuggingFace 📰 Blog 🎨 Xiaomi MiMo API Platform 🗨️ Xiaomi MiMo Studio 💻 Xiaomi MiMo Desktop
🤗 HuggingFace 📰 Blog 🎨 Xiaomi MiMo API Platform 🗨Xiaomi MiMo Studio 💻 Xiaomi MiMo Desktop
🤗 HuggingFace 📰 Blog 🎨 Xiaomi MiMo API Platform 🗨️ Xiaomi MiMo Studio
Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence