GGUF replaces bitsandbytes for low-VRAM LoRA training on local hardware
New techniques enable training massive Qwen and DeepSeek models in limited VRAM using GGUF base formats, eliminating the need for CPU offloading on specific hardware.
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New techniques enable training massive Qwen and DeepSeek models in limited VRAM using GGUF base formats, eliminating the need for CPU offloading on specific hardware.
An engineer used Hugging Face's ML Intern agent to fine-tune six specialized models, including vision LoRAs and distilled rewriters, for a total compute cost of roughly $103.
Burn 0.22 eliminates backend type parameters from user APIs, cutting rebuild times by up to 15x and adding LoRA support.