Twinkle is now at v0.4.0! 🔥 The fully open-sourced solution for multi-tenant Training-as-a-Service, with Tinker API compatibility. Now packed with broader model coverage, more training algorithm support, and an improved backend built to scale. Here’s what’s cooking: 🐳 DeepSeek V4 Support: Flash FSDP2 + Expert Parallelism (EP) training, plus native tool-call parsing and cleanup. 🤖 Qwen3.5 Evolution: Maximize efficiency with padding-free / packed-sequence support and MoE GatedDeltaNet sequence parallelism. 🔮 Gemma 4: Full multimodal training support is officially here, complete with a fresh 12B cookbook! 🧬 LoRA Level-up: Added rsLoRA for Multi-LoRA, FSDP2 for Multi-LoRA SFT, and EP LoRA SFT examples for DeepSeek V4 and Qwen3.5 MoE. ⚡ NPU Acceleration: Huge stability and speed gains with fused operators (RMSNorm, RoPE, SwiGLU, SDPA) and FLA patches. Time to supercharge your cluster and squeeze out every ounce of compute. 🏎️💨 👉 Check out the full release notes at and drop us a ⭐ on GitHub: ❤️