docs: apply mdformat to documentation files

Author: shralex

docs/guides/checkpointing_solutions/convert_checkpoint.md

@@ -7,19 +7,19 @@ This guide provides instructions to use [checkpoint conversion scripts](https://
 The following models are supported:
 
 | Model Family            | Sizes                  | HF $\to$ Orbax (scan) | HF $\to$ Orbax (unscan) | Orbax (scan) $\to$ HF | Orbax (unscan) $\to$ HF |
-| :---------------------- | :--------------------- | :--------------------: | :----------------------: | :--------------------: | :----------------------: |
-| **Gemma2**              | 2B, 9B, 27B            |           √            |            √             |           √            |            √             |
-| **Gemma3** (Multimodal) | 4B, 12B, 27B           |           √            |            √             |           √            |            √             |
-| **Llama3.1**            | 8B, 70B, 450B          |           √            |            √             |           √            |            √             |
-| **Qwen2.5**             | 1.5B, 7B, 14B          |           √            |            √             |           √            |            √             |
-| **Qwen3**               | 0.6B, 4B, 8B, 14B, 32B |           √            |            √             |           √            |            √             |
-| **Qwen3 MoE**           | 30B, 235B, 480B        |           √            |            √             |           √            |            √             |
-| **Mixtral**             | 8x7B, 8x22B            |           √            |            √             |           √            |            √             |
-| **GPT-OSS**             | 20B, 120B              |           √            |            √             |           √            |            √             |
-| **DeepSeek2**           | 16B                    |           √            |            √             |           √            |            √             |
-| **DeepSeek3**           | 671B                   |           √            |            √             |           √            |            √             |
-| **DeepSeek3.2**         | 671B                   |           √            |            √             |           -            |            -             |
-| **Qwen3 Next**          | 80B                    |           √            |            √             |           √            |            √             |
+| :---------------------- | :--------------------- | :-------------------: | :---------------------: | :-------------------: | :---------------------: |
+| **Gemma2**              | 2B, 9B, 27B            |           √           |            √            |           √           |            √            |
+| **Gemma3** (Multimodal) | 4B, 12B, 27B           |           √           |            √            |           √           |            √            |
+| **Llama3.1**            | 8B, 70B, 450B          |           √           |            √            |           √           |            √            |
+| **Qwen2.5**             | 1.5B, 7B, 14B          |           √           |            √            |           √           |            √            |
+| **Qwen3**               | 0.6B, 4B, 8B, 14B, 32B |           √           |            √            |           √           |            √            |
+| **Qwen3 MoE**           | 30B, 235B, 480B        |           √           |            √            |           √           |            √            |
+| **Mixtral**             | 8x7B, 8x22B            |           √           |            √            |           √           |            √            |
+| **GPT-OSS**             | 20B, 120B              |           √           |            √            |           √           |            √            |
+| **DeepSeek2**           | 16B                    |           √           |            √            |           √           |            √            |
+| **DeepSeek3**           | 671B                   |           √           |            √            |           √           |            √            |
+| **DeepSeek3.2**         | 671B                   |           √           |            √            |           -           |            -            |
+| **Qwen3 Next**          | 80B                    |           √           |            √            |           √           |            √            |
 
 ## Prerequisites
 

docs/tutorials/posttraining/multimodal.md

@@ -155,7 +155,7 @@ python -m maxtext.trainers.post_train.sft.train_sft_deprecated \
 
     $\text{Text Tokens} \approx 1.3 \times \text{Number of Words in Prompt}$.
 
-  - For Gemma3, each image is resized to 896*896 and contributes 256 tokens:
+  - For Gemma3, each image is resized to 896\*896 and contributes 256 tokens:
 
     $\text{Total Tokens} \approx \text{Text Tokens} + \text{Number of Images} * 256$.