LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
This model always redirects to the latest model in the DeepSeek Flash family.
[!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
[!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, TokenSpeed, etc.
[!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, TokenSpeed, etc. The quantization method is fine-g…
Description: The NVIDIA Qwen3.8-27B NVFP4 model is a quantized version of Alibaba's Qwen3.8-27B model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information on the model, please check here. The model is quantized with Mod…
[!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…