The Best GLM-5.1 Alternatives in 2026

Qwen3-Omni understands text, audio, images, and video, and can generate speech in real time.

WizardLM collects language models developed with Evol-Instruct, including WizardCoder and WizardMath.

DeepSWE benchmarks coding agents on original, long-horizon software engineering tasks.

The S4 repository presents structured state space sequence models for sequence modeling research.

MobiLlama is a small language model designed for edge devices, according to its repository description.

This repository contains the DeepSeek-V3 language model project and related source files.

This repository lists open language models identified as available for commercial use.

Stability AI’s StableLM repository contains its language models and related project materials.

This repository contains Google Research code for the Flan-T5 language model project.

The DeepSeek-R1 repository links to its reasoning research paper and provides related model materials.

Repository accompanying the paper Generative Agents: Interactive Simulacra of Human Behavior, containing the core simulation module for agents that simulate believable human behaviors and their game environment.

This repository provides a PyTorch implementation of a CVPR paper on high resolution representations for human pose estimation.

DeepSeek Coder is a language model project for code generation and programming tasks.

OpenVLA provides an open-source vision-language-action model for robotic manipulation tasks.

ChatGLM-6B is an open bilingual dialogue language model described in English and Chinese.

The Qwen3-VL model family provides multimodal large language models from Alibaba Cloud.

xTuring supports personalizing open source language models through preprocessing and fine tuning.

Janus combines multimodal understanding and image generation models in a unified model series.

Point·E is a research project that generates 3D point clouds using diffusion models.

CodeGen provides open-source models for program synthesis and code generation.

Unsupervised machine learning with multivariate Gaussian mixture model.

Code and documentation to train Stanford's Alpaca models, and generate the data.

timm provides PyTorch image encoders and backbones along with training, evaluation, inference, and export scripts.

The learn2learn library supports meta learning experiments and research with PyTorch.