Balanced Ternary K5 Weight Scheme Beats FP8 Inference Throughput 3x
A developer released TKintegers, a balanced-ternary K5 weight representation with converter and GPU inference. On an NVIDIA L4 running Qwen2.5-0.5B-Instruct, it achieved 3.21x faster prefill throughput than TorchAO FP8.
2026-10-30 ~ 2026-10-30 · 3 related posts
- Duplicate: balanced-ternary K5 beats FP8 by 3.2× on L4 — Code_MasterCody · 2026-10-30
- Balanced-ternary K5 inference beats TorchAO FP8 by 3.2× on NVIDIA L4 — Code_MasterCody · 2026-10-30
- Balanced-ternary K5 weights beat TorchAO FP8 on NVIDIA L4 with 3.2x throughput — Code_MasterCody · 2026-10-30