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jd-opensource/xllm

0
View on GitHub↗
1,369 stars·240 forks·C++·Apache-2.0·11 viewsxllm-ai.com↗

Xllm

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.

Features

  • Inference and Serving - High-performance inference engine for diverse hardware.
  • Inference Engines - High-performance inference engine for diverse accelerators.

Star history

Star history chart for jd-opensource/xllmStar history chart for jd-opensource/xllm

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Xllm

These projects share indexed features with Xllm. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • bentoml/openllmbentoml avatar

    bentoml/OpenLLM

    12,115View on GitHub↗

    OpenLLM is a framework for deploying, managing, and scaling open-source large language models

    Pythonbentomlfine-tuningllama
    View on GitHub↗12,115
  • alexrozanski/llamachatalexrozanski avatar

    alexrozanski/LlamaChat

    1,510View on GitHub↗

    Chat with your favourite LLaMA models in a native macOS app

    Swiftaillamallamacpp
    View on GitHub↗1,510
  • augustdev/enchantedAugustDev avatar

    AugustDev/enchanted

    5,967View on GitHub↗

    Enchanted is a privacy-focused, cross-platform chat frontend for interacting with self-hosted large language models on iOS and macOS. It serves as a native client for communicating with private model servers, specifically providing integration for the Ollama API. The application supports multimodal interactions, allowing users to combine text, image attachments, and voice prompts. It provides tools for local AI model management, including the ability to define persistent system prompts and switch between different models for specific tasks. The interface includes capabilities for rendering m

    Swift
    View on GitHub↗5,967
  • berriai/litellmBerriAI avatar

    BerriAI/litellm

    50,579View on GitHub↗

    LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model providers. It provides a standardized API interface that abstracts vendor-specific schemas, allowing developers to interact with diverse models through a single, consistent format. By acting as a central traffic management layer, it enables organizations to route, secure, and govern model interactions across multiple deployments. The platform distinguishes itself through its policy-driven architecture, which uses configuration-based routing to manage traffic distribution, load balanc

    Pythonai-gatewayanthropicazure-openai
    View on GitHub↗50,579
Compare all 30 related projects→

Frequently asked questions

What does jd-opensource/xllm do?

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.

What are the main features of jd-opensource/xllm?

The main features of jd-opensource/xllm are: Inference and Serving, Inference Engines.

Which projects share features with jd-opensource/xllm?

Projects with overlapping indexed features include: berriai/litellm — LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model… bigai-nlco/tokenswift. bentoml/openllm — OpenLLM is a framework for deploying, managing, and scaling open-source large language models. augustdev/enchanted — Enchanted is a privacy-focused, cross-platform chat frontend for interacting with self-hosted large language models on… alexrozanski/llamachat — Chat with your favourite LLaMA models in a native macOS app. bklieger-groq/g1.