shirish(@shiri_shh):btw fine-tuning open-source models at 2x the speed is easy now. you just need: - your favorite base model (Llama, Qwen, Mistral) - a single YAML config file - Halo from @whitecircle up to 2.8x faster throughput, lower peak VRAM, and 0 checkpoint conversion scripts

2026.09.21 18:29

btw fine-tuning open-source models at 2x the speed is easy now. you just need: - your favorite base model (Llama, Qwen, Mistral) - a single YAML config file - Halo from @whitecircle up to 2.8x faster throughput, lower peak VRAM, and 0 checkpoint conversion scripts

White Circle@whitecircle

2026.09.21 17:28

Introducing Halo, the best framework for post-training of open-source models. Halo delivers up to 2.8x the throughput of stock TRL with less peak memory, while models stay in their native HuggingFace format. Star us on GitHub: