[docs] fix: Use family terminology for model docs

Signed-off-by: yaoyu-33 <yaoyu.094@gmail.com>

Author: yaoyu-33

README.md

@@ -168,7 +168,7 @@ For a deeper dive into conversion design and advanced usage, see the [models REA
 
 Megatron Bridge provides out-of-the-box bridges and training recipes for a wide range of models, built on top of base model architectures from [Megatron Core](https://github.com/NVIDIA/Megatron-LM/tree/main/megatron/core). Refer to the [models directory](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/src/megatron/bridge/models) for the full list of model bridges.
 
-| Brand / family | Supported variants | Recipes and examples |
+| Family | Supported variants | Recipes and examples |
 |----------------|--------------------|----------------------|
 | **Bailing** | [Ling 2.0 (Bailing)](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/src/megatron/bridge/models/bailing) | [examples](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/examples/models/bailing) |
 | **DeepSeek** | [DeepSeek V2 / V2 Lite](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/src/megatron/bridge/models/deepseek), [DeepSeek V3](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/src/megatron/bridge/models/deepseek), [DeepSeek V4](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/src/megatron/bridge/models/deepseek_v4) | [DeepSeek V2 recipes](https://github.com/NVIDIA-NeMo/Megatron-Bridge/blob/main/src/megatron/bridge/recipes/deepseek/deepseek_v2.py), [DeepSeek V3 recipes](https://github.com/NVIDIA-NeMo/Megatron-Bridge/blob/main/src/megatron/bridge/recipes/deepseek/deepseek_v3.py), [DeepSeek V4 examples](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/examples/models/deepseek_v4) |

docs/README.md

@@ -16,7 +16,7 @@ Welcome to the Megatron Bridge documentation! This guide helps you navigate our
 → See [Training Documentation](training/README.md) for comprehensive training guides
 
 **📚 Find model documentation**
-→ Browse [Supported Models](models/README.md), organized by brand and model variant
+→ Browse [Supported Models](models/README.md), organized by family and model variant
 
 **🔧 Migrate from NeMo 2 or Megatron-LM**
 → Check [NeMo 2 Migration Guide](nemo2-migration-guide.md) or [Megatron-LM Migration Guide](megatron-lm-to-megatron-bridge.md)
@@ -76,7 +76,7 @@ Welcome to the Megatron Bridge documentation! This guide helps you navigate our
 
 | Document | Purpose | When to Read |
 |----------|---------|--------------|
-| **[Supported Models](models/README.md)** | Brand-organized model documentation | Working with supported model variants |
+| **[Supported Models](models/README.md)** | Family-organized model documentation | Working with supported model variants |
 | **[Adding New Models](adding-new-models.md)** | Guide for adding model support | Extending model support |
 
 ### Training and Customization
@@ -185,9 +185,9 @@ Welcome to the Megatron Bridge documentation! This guide helps you navigate our
 
 #### [models/](models/README.md)
 
-- Brand folders such as **[qwen/](models/qwen/index.md)**, **[gemma/](models/gemma/index.md)**, and **[nemotron/](models/nemotron/index.md)**
+- Family folders such as **[qwen/](models/qwen/index.md)**, **[gemma/](models/gemma/index.md)**, and **[nemotron/](models/nemotron/index.md)**
   - Model-variant guides for conversion, training recipes, and architecture notes
-  - Multimodal variants live with their brand families
+  - Multimodal variants live with their model families
 
 #### [training/](training/README.md)
 
@@ -235,7 +235,7 @@ graph TD
     I --> N[Data Parallelism<br/>DDP]
     I --> O[Model Parallelism<br/>TP/PP/VPP]
     
-    D --> P[Brand Index<br/>Model Variants]
+    D --> P[Family Index<br/>Model Variants]
     D --> Q[Model Pages<br/>Recipes and Conversion]
     
     style A fill:#e1f5fe

docs/models/README.md

@@ -1,12 +1,12 @@
 # Supported Models
 
-This directory contains brand-organized documentation for models supported by
+This directory contains family-organized documentation for models supported by
 Megatron Bridge. Each model page covers supported variants, Hugging Face <->
 Megatron Bridge conversion, training recipe links, and model-specific notes.
 
-## Brand Index
+## Family Index
 
-| Brand / family | Model documentation |
+| Family | Model documentation |
 |----------------|---------------------|
 | **DeepSeek** | [DeepSeek V2](deepseek/deepseek-v2.md), [DeepSeek V3](deepseek/deepseek-v3.md), [DeepSeek V4](deepseek/deepseek-v4.md) |
 | **Gemma** | [Gemma 2](gemma/gemma2.md), [Gemma 3](gemma/gemma3.md), [Gemma 3 VL](gemma/gemma3-vl.md), [Gemma 4 VL](gemma/gemma4-vl.md) |
@@ -25,7 +25,7 @@ Megatron Bridge conversion, training recipe links, and model-specific notes.
 ### I want to
 
 **Find model-specific docs**
--> Browse the brand index above or use the navigation for the model's brand.
+-> Browse the family index above or use the navigation for the model's family.
 
 **Convert models between formats**
 -> See [Bridge Guide](../bridge-guide.md) for Hugging Face <-> Megatron

skills/adding-model-support/SKILL.md

@@ -343,10 +343,10 @@ For detailed test patterns, see @skills/adding-model-support/tests-and-examples.
 
 ### Examples
 
-Model examples: `examples/models/<brand>/<model>/`
+Model examples: `examples/models/<family>/<model>/`
 
 ```text
-examples/models/<brand>/<model>/
+examples/models/<family>/<model>/
 ├── README.md
 ├── conversion.sh        # HF↔Megatron conversion commands (real model)
 ├── inference.sh         # Generation commands (real model, reasonable output)

skills/adding-model-support/tests-and-examples.md

@@ -214,7 +214,7 @@ Example scripts target **real published models** (e.g. `Qwen/Qwen3-8B`), not toy
 The inference script must produce reasonable output — a coherent text completion for LLMs,
 a plausible image description for VLMs. This is the acceptance bar for the deliverable.
 
-### Conversion example (`examples/models/<brand>/<model>/conversion.sh`)
+### Conversion example (`examples/models/<family>/<model>/conversion.sh`)
 
 ```bash
 #!/usr/bin/env bash
@@ -251,7 +251,7 @@ uv run python -m torch.distributed.run --nproc_per_node=8 \
     --hf-model-id ${HF_MODEL} --tp ${TP} --pp ${PP} --ep ${EP}
 ```
 
-### Inference example (`examples/models/<brand>/<model>/inference.sh`)
+### Inference example (`examples/models/<family>/<model>/inference.sh`)
 
 For LLMs:
 ```bash
@@ -323,7 +323,7 @@ uv run python examples/conversion/convert_checkpoints.py import \
 
 ## Training
 
-See `examples/models/<brand>/<model>/slurm_sft.sh` and `slurm_peft.sh` for full Slurm scripts.
+See `examples/models/<family>/<model>/slurm_sft.sh` and `slurm_peft.sh` for full Slurm scripts.
 Single-node quick-start:
 
 ### SFT