whereismyai › NVIDIA Model Optimizer
NVIDIA Model Optimizer alternatives
The 12 products closest to NVIDIA Model Optimizer in what they do and who they're for, best match first.
- TensorRT — Speeds up inference by 36X compared to CPU-only platforms. (Code, Free)
- AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs. (Code, Free)
- fal — Access 1,000+ generative models and high-performance serverless GPUs. (Code, Paid)
- LMDeploy — Accelerates inference with high-performance engines and quantization tools. (Code, Free)
- Neural Compressor — Supports advanced quantization and sparsity for large language models. (Code, Free)
- XTuner — High-efficiency training for 200B+ scale MoE models without expert parallelism. (Code, Free)
- torchao — It speeds up training and inference while reducing memory usage with native PyTorch. (Code, Free)
- Soup — Fine-tune and align models like Llama-3.1-8B on a 4 GB laptop GPU. (Code, Free)
- ncnn — No runtime dependencies and supports CPU and Vulkan GPU backends. (Code, Free)
- Hugging Face Transformers — It provides a unified API for over 1M+ pretrained model checkpoints on the Hub. (Code, Free)
- SpectraAdamw — Reduces optimizer state memory by fifty percent without losing convergence speed. (Code, Free)
- Liger Kernel — Increases LLM training throughput by 20% and reduces memory usage by 60%. (Code, Free)