Update README.md

README.md

@@ -1,6 +1,6 @@
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 title: RuVI Labs
-emoji: ⚫
+emoji: 🚀
 colorFrom: gray
 colorTo: gray
 sdk: static
@@ -63,9 +63,9 @@ We build for the people who will actually use the models: students, developers,
 |:--|:-:|:--|
 | **Pragya Brahmã** (flagship) | planned | Open weights, open data |
 | **Pragya Vayu** | 🧪 Training| Built for low-resource hardware |
-| **Pragya medha** | 🧪 Planned | Chat and instruction tuned |
+| **Pragya medha** | 🧪 Planned | Medium tier |
+
 
-<sub>Status key: ✅ Released · 🔨 Training · 🧪 Planned</sub>
 
 ---
 
@@ -89,9 +89,8 @@ Nothing hidden in the corpus.
 </td>
 <td width="33%" align="center">
 
-**◼ From scratch**
-
-No borrowed foundations.
+**Capable release**
+ Release whats peak 
 
 </td>
 </tr>
@@ -99,7 +98,7 @@ No borrowed foundations.
 
 ### What "from scratch" means to us
 
-- **Own architecture.** Designed and implemented in-house, not a fine-tune of someone else's checkpoint.
+- **Own architecture.** Designed and implemented in-house.
 - **Own training run.** Pretrained by us on data we can document.
 - **Own tooling.** Training, evaluation and inference code built and released alongside the weights.
 
@@ -151,7 +150,7 @@ No borrowed foundations.
 ## 08 · FAQ
 
 **Are the models really trained from scratch?**
-Yes. Architecture, pretraining and tooling are our own.
+Yes. Architecture, pretraining and tooling are our own. Some Models are LoRA
 
 **Can I use the weights commercially?**
 Check the license on each model card. Our goal is permissive, open release.
@@ -179,4 +178,4 @@ Follow the organization on Hugging Face to get notified when models and datasets
 
 *small lab, serious work.*
 
-</div>
+</div>