AngelSlim provides model compression capabilities specifically designed for large language models. The toolkit implements techniques including quantization (1.25-bit to 4-bit), speculative decoding frameworks like DFlare and D-Cut, and knowledge distillation for full-precision and quantized models. It integrates with llama.cpp through kernel contributions and supports compression across diverse model architectures including Qwen, Hunyuan, DeepSeek, and multimodal VLMs.