The Best Meta LLaMA 3.1 Models Alternatives in 2026

Kimi K2 handles complex language tasks, reasoning, and problem-solving through an AI model developed by Moonshot AI.

DeepEval is an LLM evaluation framework, according to its repository description.

OneCompression is a Python package for compressing large language models.

PromptSite provides prompt version management for tracking, experimentation, and debugging LLM prompts.

Semantic Cache Router presents a distributed semantic cache and stateful routing system.

Notte provides cloud browser infrastructure and web automation for AI and coding agents.

LiteLLM provides a way to call more than 100 language models through an OpenAI-compatible interface.

Chutes provides serverless compute for deploying, running, and scaling AI models through its platform and API.

This repository contains machine learning code examples that use Comet.ml.

The RunAnywhere SDK repository describes a production toolkit for running AI locally.

ColossalAI provides tools intended to make large AI models cheaper, faster, and more accessible.

Gymnasium provides a standard API for single agent reinforcement learning environments and related utilities.

PyTorch TNT supplies lightweight tools and utilities for training with PyTorch.

Glide provides an open model gateway for developing production generative AI applications.

LiteLLM provides an AI gateway and LLM proxy with model routing, usage tracking, spend controls, and support for many providers.

Ollama runs language models locally and provides tools to work with model files and APIs.

Manifest connects AI agents and tools to multiple model providers through an LLM gateway.

OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.

Hugging Face Text Embeddings Inference serves text embedding models through an inference solution.

This repository describes technologies for enabling AI capabilities with large and multimodal language models.

The abso TypeScript SDK calls more than 100 LLM providers through an OpenAI compatible format.

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

Stakpak runs an agent on a machine to ship code and keep applications running.

OpenModelZ scales LLM inference on Kubernetes with engines including vLLM, SGLang, and LMDeploy.