feat(model): add model support verification cards (#4909)

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

Author: yaoyu-33

docs/fern/versions/0.4.2/pages/models/vlm/nemotron-nano-v2-vl.mdx

@@ -24,7 +24,7 @@ We use the following environment variables throughout this page
 
 Unless explicitly stated, any megatron model path in the commands below should NOT contain the iteration number 
 `iter_xxxxxx`. For more details on checkpointing, please see 
-[here](../../training/checkpointing.md#checkpoint-contents) 
+[here](../../training/checkpointing.md#checkpoint-contents)
 
 </Tip>
 

docs/fern/versions/0.4.2/pages/models/vlm/qwen2.5-vl.mdx

@@ -12,7 +12,7 @@ We use the following environment variables throughout this page
 
 Unless explicitly stated, any megatron model path in the commands below should NOT contain the iteration number 
 `iter_xxxxxx`. For more details on checkpointing, please see 
-[here](../../training/checkpointing.md#checkpoint-contents) 
+[here](../../training/checkpointing.md#checkpoint-contents)
 
 </Tip>
 

docs/fern/versions/0.4.2/pages/models/vlm/qwen3-vl.mdx

@@ -10,7 +10,7 @@ We use the following environment variables throughout this page
 - `MEGATRON_MODEL_PATH=/models/Qwen3-VL-8B-Instruct` (feel free to set your own path)
 Unless explicitly stated, any megatron model path in the commands below should NOT contain the iteration number 
 `iter_xxxxxx`. For more details on checkpointing, please see 
-[here](../../training/checkpointing.md#checkpoint-contents) 
+[here](../../training/checkpointing.md#checkpoint-contents)
 
 </Tip>
 

docs/fern/versions/nightly/pages/models/qwen/qwen.mdx

@@ -218,9 +218,9 @@ uv run python examples/conversion/hf_to_megatron_generate_text.py \
 
 | Model | Mode | TP | PP | EP | Total GPUs | Use Case |
 |-------|------|----|----|----|-----------:|----------|
-| **Qwen3-30B-A3B** | Pretrain | 1 | 1 | 8 | 8 | Pre-training (single node) |
-| **Qwen3-30B-A3B** | Full SFT | 1 | 1 | 8 | 8 | Full supervised finetuning |
-| **Qwen3-30B-A3B** | LoRA/DoRA | 1 | 1 | 8 | 8 | PEFT finetuning (single node) |
+| **Qwen3-30B-A3B** | Pretrain | 1 | 1 | 16 | 16 | Pre-training (2 nodes) |
+| **Qwen3-30B-A3B** | Full SFT | 1 | 1 | 16 | 16 | Full supervised finetuning (2 nodes) |
+| **Qwen3-30B-A3B** | LoRA/DoRA | 4 | 1 | 4 | 4 | PEFT finetuning |
 | **Qwen3-235B-A22B** | Pretrain | 2 | 8 | 32 | 512 | Pre-training (64 nodes) |
 | **Qwen3-235B-A22B** | Full SFT | 2 | 8 | 32 | 512 | Full supervised finetuning (64 nodes) |
 | **Qwen3-235B-A22B** | LoRA/DoRA | 2 | 8 | 32 | 512 | PEFT finetuning (64 nodes) |
@@ -239,7 +239,7 @@ config = qwen3_30b_a3b_pretrain_config(
     train_iters=500_000,
     global_batch_size=2048,
     seq_length=4096,
-    # Uses TP=1, PP=1, EP=8 (8 GPUs) automatically
+    # Uses TP=1, PP=1, EP=16 (16 GPUs) automatically
 )
 ```
 
@@ -272,7 +272,7 @@ config = qwen3_30b_a3b_sft_config(
     train_iters=1000,
     global_batch_size=64,
     finetune_lr=5e-6,
-    # Uses TP=1, PP=1, EP=8 (8 GPUs) automatically
+    # Uses TP=1, PP=1, EP=16 (16 GPUs) automatically
 )
 ```
 
@@ -288,7 +288,7 @@ config = qwen3_30b_a3b_peft_config(
     train_iters=1000,
     global_batch_size=128,
     finetune_lr=1e-4,
-    # Uses TP=1, PP=1, EP=8 (8 GPUs) automatically
+    # Uses TP=4, PP=1, EP=4 (4 GPUs) automatically
 )
 ```
 

docs/fern/versions/nightly/pages/models/qwen/qwen3-vl.mdx

@@ -10,7 +10,7 @@ We use the following environment variables throughout this page
 - `MEGATRON_MODEL_PATH=/models/Qwen3-VL-8B-Instruct` (feel free to set your own path)
 Unless explicitly stated, any megatron model path in the commands below should NOT contain the iteration number 
 `iter_xxxxxx`. For more details on checkpointing, please see 
-[here](../../training/checkpointing.md#checkpoint-contents) 
+[here](../../training/checkpointing.md#checkpoint-contents)
 
 </Tip>
 

docs/models/qwen/qwen.md

@@ -218,9 +218,9 @@ uv run python examples/conversion/hf_to_megatron_generate_text.py \
 
 | Model | Mode | TP | PP | EP | Total GPUs | Use Case |
 |-------|------|----|----|----|-----------:|----------|
-| **Qwen3-30B-A3B** | Pretrain | 1 | 1 | 8 | 8 | Pre-training (single node) |
-| **Qwen3-30B-A3B** | Full SFT | 1 | 1 | 8 | 8 | Full supervised finetuning |
-| **Qwen3-30B-A3B** | LoRA/DoRA | 1 | 1 | 8 | 8 | PEFT finetuning (single node) |
+| **Qwen3-30B-A3B** | Pretrain | 1 | 1 | 16 | 16 | Pre-training (2 nodes) |
+| **Qwen3-30B-A3B** | Full SFT | 1 | 1 | 16 | 16 | Full supervised finetuning (2 nodes) |
+| **Qwen3-30B-A3B** | LoRA/DoRA | 4 | 1 | 4 | 4 | PEFT finetuning |
 | **Qwen3-235B-A22B** | Pretrain | 2 | 8 | 32 | 512 | Pre-training (64 nodes) |
 | **Qwen3-235B-A22B** | Full SFT | 2 | 8 | 32 | 512 | Full supervised finetuning (64 nodes) |
 | **Qwen3-235B-A22B** | LoRA/DoRA | 2 | 8 | 32 | 512 | PEFT finetuning (64 nodes) |
@@ -239,7 +239,7 @@ config = qwen3_30b_a3b_pretrain_config(
     train_iters=500_000,
     global_batch_size=2048,
     seq_length=4096,
-    # Uses TP=1, PP=1, EP=8 (8 GPUs) automatically
+    # Uses TP=1, PP=1, EP=16 (16 GPUs) automatically
 )
 ```
 
@@ -272,7 +272,7 @@ config = qwen3_30b_a3b_sft_config(
     train_iters=1000,
     global_batch_size=64,
     finetune_lr=5e-6,
-    # Uses TP=1, PP=1, EP=8 (8 GPUs) automatically
+    # Uses TP=1, PP=1, EP=16 (16 GPUs) automatically
 )
 ```
 
@@ -288,7 +288,7 @@ config = qwen3_30b_a3b_peft_config(
     train_iters=1000,
     global_batch_size=128,
     finetune_lr=1e-4,
-    # Uses TP=1, PP=1, EP=8 (8 GPUs) automatically
+    # Uses TP=4, PP=1, EP=4 (4 GPUs) automatically
 )
 ```
 

docs/models/qwen/qwen3-vl.md

@@ -10,7 +10,7 @@ We use the following environment variables throughout this page
 - `MEGATRON_MODEL_PATH=/models/Qwen3-VL-8B-Instruct` (feel free to set your own path)
 Unless explicitly stated, any megatron model path in the commands below should NOT contain the iteration number 
 `iter_xxxxxx`. For more details on checkpointing, please see 
-[here](../../training/checkpointing.md#checkpoint-contents) 
+[here](../../training/checkpointing.md#checkpoint-contents)
 ```
 
 ## Examples
@@ -20,4 +20,4 @@ For checkpoint conversion, inference, finetuning recipes, and step-by-step train
 ## Hugging Face Model Cards
 - Qwen3-VL-8B: `https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct`
 - Qwen3-VL-30B-A3B (MoE): `https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct`
-- Qwen3-VL-235B-A22B (MoE): `https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct`
+- Qwen3-VL-235B-A22B (MoE): `https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct`