Results for “llm-quantization”

Fast tokenization for NLP using Rust-based tokenizers supporting BPE, WordPiece, and Unigram algorithms, with training, alignment tracking, and padding/truncation.

Run Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer.