9 Commits (ed006a254f53ff70d26bab4493bf3cc88c7b345e)

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	6b0b0c5e2f	[update] fp16 inference	2026-03-27 16:29:46 +08:00
jingyaogong	101d7df2da	[update] minimind-3	2026-03-25 23:57:45 +08:00
jingyaogong	08ce3da228	[feat] update args	2025-10-30 10:48:31 +08:00
jingyaogong	bf123b585d	[feat] add args	2025-10-30 10:05:12 +08:00
jingyaogong	a62faf34bd	250426	2025-04-26 10:05:47 +08:00
jingyaogong	4a758564e4	fix top_p float bug	2025-04-09 16:52:20 +08:00
gongjy	c9ca0f57dc	update config	2025-02-10 00:14:11 +08:00
gongjy	58e3af0359	add minimind2	2025-02-09 23:49:47 +08:00