whereismyai › Finetuning With Sampling
Finetuning With Sampling alternatives
The 12 products closest to Finetuning With Sampling in what they do and who they're for, best match first.
- Soup — Fine-tune and align models like Llama-3.1-8B on a 4 GB laptop GPU. (Code, Free)
- PEFT — Reduces computational requirements and storage needs for large model training. (Code, Free)
- SwanLab — Tracks training metrics and system performance with minimal code integration. (Code, Freemium)
- Floret Torch — Trains word vectors up to twenty times faster than CPU floret. (Code, Free)
- ESPnet — Provides reproducible recipes and hundreds of pretrained models for various speech tasks. (Audio, Free)
- torchao — It speeds up training and inference while reducing memory usage with native PyTorch. (Code, Free)
- Stable Baselines3 — Provides reliable, standard PyTorch implementations for reinforcement learning. (Code, Free)
- KohakuMossTrainer — Fits adapter training onto cards with 6 GB of VRAM. (Image, Free)
- Every number in a tiny GPT — Inspects every lookup, matrix multiplication, and normalisation in a live transformer. (Research, Free)
- TensorRT — Speeds up inference by 36X compared to CPU-only platforms. (Code, Free)
- SimpleTuner — It supports dozens of model families with advanced memory and enterprise features. (Image, Free)
- DeepInfer Studio — Explore AI inference workflows and resource trade-offs without requiring expensive hardware or GPUs. (Research, Free)