Kaiyue Wen 931d59c515 Use hybrid FP8 approach: torchao for reparam_linear, custom fp8 for layers ... - reparam_linear: uses torchao for efficient N-D tensor handling without reshaping - Float8Linear layers: uses custom fp8 module (simpler, same performance) - This gives us the best of both: high MFU and minimal dependencies Co-Authored-By: Claude Sonnet 4.5 (1M context) <noreply@anthropic.com>		2026-02-12 16:59:52 -08:00
..
base_eval.py	small touchups to the eval script, re-order items etc, cosmetic	2026-02-03 21:03:42 +00:00
base_train.py	Use hybrid FP8 approach: torchao for reparam_linear, custom fp8 for layers	2026-02-12 16:59:52 -08:00
chat_cli.py	remove leftover mid references (#491)	2026-02-02 08:33:46 -08:00
chat_eval.py	remove leftover mid references (#491)	2026-02-02 08:33:46 -08:00
chat_rl.py	remove leftover mid references (#491)	2026-02-02 08:33:46 -08:00
chat_sft.py	fix bug in chat_sft, the attention window must be preserved sigh	2026-02-01 20:58:44 +00:00
chat_web.py	remove leftover mid references (#491)	2026-02-02 08:33:46 -08:00
tok_eval.py	initial commit	2025-10-13 06:49:24 -07:00
tok_train.py	quick fix to not OOM main speedrun script	2026-01-26 22:31:42 +00:00