diff --git a/images/minimind-3v.gif b/images/minimind-3v.gif index c91a875..43a0156 100644 Binary files a/images/minimind-3v.gif and b/images/minimind-3v.gif differ diff --git a/index.html b/index.html index 43cf4de..c812818 100644 --- a/index.html +++ b/index.html @@ -529,7 +529,7 @@

Train a 67M Vision-Language Model from zero.
- 1 hour. ¥1.3. One 3090.
+ 2 hours. ¥2.6. One 3090.
See the World.

@@ -541,11 +541,11 @@

Parameters

-

1h

+

2h

Training

-

¥1.3

+

¥2.6

Cost

@@ -600,13 +600,13 @@ minimind-3v-moe 202M-A67M 1.0 GB - 2026.04.01 + 2026.04.20 minimind-3v 67M 0.5 GB - 2026.04.01 + 2026.04.20 MiniMind2-V @@ -629,9 +629,26 @@
- 🎉 2026-04-01 (Latest) + 🎉 2026-04-20 (Latest) −
+
+
    +
  • New checkpoints: minimind-3v (67M) / minimind-3v-moe (201M-A67M)
  • +
  • Projector: added LayerNorm, token merging switched to 2D pixel-shuffle
  • +
  • Vision Encoder switched to SiglipVisionModel (fixed 256×256)
  • +
  • Training data moved to ALLaVA-4V (Pretrain 1.27M / SFT 2.9M, merged into single-stage SFT)
  • +
  • Freeze strategy: freeze_llm=1 unfreezes first + last layers; Pretrain/SFT defaults now 2/1; max_seq_len 360 → 450
  • +
  • Misc bugfixes and small tweaks
  • +
+
+
+ +
+
+ 🛠️ 2026-04-01 + + +
  • Added minimind-3v (67M) and minimind-3v-moe (201M-A67M) models
  • @@ -766,8 +783,8 @@