Features
High-performance LLM and multimodal inference
Disaggregated prefill/decode pipeline
Speculative decoding for faster generation
Optimized GPU kernels (FlashAttention, etc.)
OpenAI-compatible API interface
Single-command server launch
Install via pip or Docker
Multi-node and multi-GPU inference
Structured output and sampling parameters
Vision language model support (v0.4.0+)
Runs on NVIDIA, AMD, CPU, TPU, Ascend, XPU
Model support: DeepSeek, Qwen, Llama, Mistral, GLM, GPT-OSS
Community support on GitHub, Slack, Discord
Scalable from single GPU to distributed clusters
Local model execution for offline inference
Connect online APIs: OpenAI (ChatGPT), Anthropic (Claude), Google (Gemini), Meta (Llama), Mistral AI, Alibaba (Qwen),
123+ HuggingFace models available
Memory feature (coming soon) for context persistence
Minimalist UI with dark mode
Open source under MIT license on GitHub
Cross-platform desktop app (Mac, Windows, Linux)
Version 0.8.3 with bug fixes and performance improvements