minimind

Author	SHA1	Message	Date
baihaochen	bc3d137248	[feat] add MLA with decoupled RoPE (DeepSeek-V2 style) - Add model_minimind_mla.py with Q/KV low-rank compression and decoupled RoPE - Add kv_norm on kv_latent, q_compress + q_up + q_rope_proj for Q path - Cache format: (kv_latent, k_rope) tuple, 176 floats/tok/layer (4.4x compression) - Add --use_mla flag to all training scripts and utils - Add benchmark_gqa_vs_mla.py script	2026-05-12 18:38:47 +08:00
jingyaogong	802c15b2b4	[feat] reduce RL memory	2026-05-06 15:07:28 +08:00
jingyaogong	6361510016	[fix] rollout bugs	2026-04-27 17:54:09 +08:00
jingyaogong	5416a44471	[fix] bugs	2026-04-21 13:03:34 +08:00
jingyaogong	101d7df2da	[update] minimind-3	2026-03-25 23:57:45 +08:00