LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
[!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.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Hugging Face GitHub Launch Blog Documentation Technical Report License : Apache 2.0 Authors : Google DeepMind
Description: Gemma 4 26B IT is an open multimodal model built by Google DeepMind that handles text and image inputs, can process video as sequences of frames, and generates text output. It is designed to deliver frontier-level performance for reasoning, agentic workflows, coding,…
Hugging Face GitHub Launch Blog Documentation Technical Report License : Apache 2.0 Authors : Google DeepMind
Hugging Face GitHub Launch Blog Documentation Technical Report License : Apache 2.0 Authors : Google DeepMind
Hugging Face GitHub Launch Blog Documentation Technical Report License : Apache 2.0 Authors : Google DeepMind
Hugging Face GitHub Launch Blog Documentation Technical Report License : Apache 2.0 Authors : Google DeepMind
Hugging Face GitHub Launch Blog Documentation Technical Report License : Apache 2.0 Authors : Google DeepMind
--- --- Developers Granite Team, IBM Model Type Decoder-only Dense Transformer (Reasoning) Architecture GraniteForCausalLM Base Model Granite-4.1-30B-Base Parameters 30B Context Length Natively Supports 128K (Long-context extension to 512K) Precision bfloat16 Tested Languages Eng…
[!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.