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[update] readme

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jingyaogong 2026-04-28 17:26:02 +08:00
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README.md
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> [!TIP]
> （截至2026-04-20）MiniMind-V 系列已完成了以下型号模型训练，最小仅需65M (0.065B)，即可具备识图和对话的能力！
| 模型 (大小) | release |
|---|---|
| minimind-3v-moe (200M-A65M) | 2026.04.20 |
| minimind-3v (65M) | 2026.04.20 |
| MiniMind2-V (104M) | 2025.02.20 |
| MiniMind2-Small-V (26M) | 2025.02.20 |
| minimind-v-v1-small (27M) | 2024.10.04 |
| minimind-v-v1 (109M) | 2024.10.04 |
| 模型 | 参数量 | Release |
|---|---|---|
| minimind-3v-moe | 200M-A65M | 2026.04.20 |
| minimind-3v | 65M | 2026.04.20 |
| MiniMind2-V | 104M | 2025.02.20 |
| MiniMind2-Small-V | 26M | 2025.02.20 |
| minimind-v-v1-small | 27M | 2024.10.04 |
| minimind-v-v1 | 109M | 2024.10.04 |
#### 👉 更新日志

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README_en.md
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> (As of 2026-04-20) The MiniMind-V series has completed the training of the following model versions, with the smallest
> requiring only 65M (0.065B) parameters, capable of both image recognition and conversation!
| Model (Size) | Release |
|---|---|
| minimind-3v-moe (200M-A65M) | 2026.04.20 |
| minimind-3v (65M) | 2026.04.20 |
| MiniMind2-V (104M) | 2025.02.20 |
| MiniMind2-Small-V (26M) | 2025.02.20 |
| minimind-v-v1-small (27M) | 2024.10.04 |
| minimind-v-v1 (109M) | 2024.10.04 |
| Model | Params | Release |
|---|---|---|
| minimind-3v-moe | 200M-A65M | 2026.04.20 |
| minimind-3v | 65M | 2026.04.20 |
| MiniMind2-V | 104M | 2025.02.20 |
| MiniMind2-Small-V | 26M | 2025.02.20 |
| minimind-v-v1-small | 27M | 2024.10.04 |
| minimind-v-v1 | 109M | 2024.10.04 |
### 👉**Recent Updates**