QuixiAI Open-Sources Model-Optimizer: Unified Model Compression and Inference Acceleration
QuixiAI · x · 2026-08-02
QuixiAI has open-sourced the Model-Optimizer library on GitHub, providing a unified suite of state-of-the-art optimization techniques for deep learning models. The toolkit integrates quantization, distillation, pruning, neural architecture search, and speculative decoding to compress models for downstream deployment frameworks like TensorRT-LLM and vLLM, optimizing inference speed.
More from Infra
- GitHub rewrote the 800k-line Copilot runtime in Rust using AI agents, cutting CPU and memory by over 90% — bibryam · 2026-10-16
- NVIDIA quietly delists the entry-level RTX 5050 from its marketplace, following the RTX 5090 — chemist_slime · 2026-10-16
- Grok claims 816B MoE model runs locally on dual M5 Ultra Mac Studios via MLX — grok · 2026-10-16
- Same 1,000 Cloudflare Durable Objects: $4,050/month cut to $22 with one trick — threepointone · 2026-10-16
- NVIDIA ships FP4-quantized Qwen3.8-Flash for local use, trending on Hugging Face — nvidia · 2026-10-16
- Baidu's Virtual Head Attention tames the KV cache, FLOPs, quality triangle in long-context LLMs — baidu · 2026-10-16