Update README.md

README.md

@@ -74,15 +74,15 @@ Due to their small size, **we recommend fine-tuning LFM2 models on narrow use ca
 They are particularly suited for agentic tasks, data extraction, RAG, creative writing, and multi-turn conversations. 
 However, we do not recommend using them for tasks that are knowledge-intensive or require programming skills.
 
-| Property            | Value                         |
-| ------------------- | ----------------------------- |
-| **Parameters**      | 1,170,340,608                 |
-| **Layers**          | 16 (10 conv + 6 attn)         |
-| **Context length**  | 32,768 tokens                 |
-| **Vocabulary size** | 65,536                        |
-| **Precision**       | bfloat16                      |
-| **Training budget** | 10 trillion tokens            |
-| **License**         | LFM Open License v1.0         |
+| Property            | [**LFM2-350M**](https://huggingface.co/LiquidAI/LFM2-350M)                 | [**LFM2-700M**](https://huggingface.co/LiquidAI/LFM2-700M)                 | [**LFM2-1.2B**](https://huggingface.co/LiquidAI/LFM2-1.2B)                 |
+| ------------------- | ----------------------------- | ----------------------------- | ----------------------------- |
+| **Parameters**      | 354,483,968                   | 742,489,344                   | 1,170,340,608                 |
+| **Layers**          | 16 (10 conv + 6 attn)         | 16 (10 conv + 6 attn)         | 16 (10 conv + 6 attn)         |
+| **Context length**  | 32,768 tokens                 | 32,768 tokens                 | 32,768 tokens                 |
+| **Vocabulary size** | 65,536                        | 65,536                        | 65,536                        |
+| **Precision**       | bfloat16                      | bfloat16                      | bfloat16                      |
+| **Training budget** | 10 trillion tokens            | 10 trillion tokens            | 10 trillion tokens            |
+| **License**         | LFM Open License v1.0         | LFM Open License v1.0         | LFM Open License v1.0         |
 
 **Supported languages**: English, Arabic, Chinese, French, German, Japanese, Korean, and Spanish.
 
@@ -102,7 +102,7 @@ What is C. elegans?<|im_end|>
 It's a tiny nematode that lives in temperate soil environments.<|im_end|>
 ```
 
-You can apply it using the dedicated [`.apply_chat_template()`](https://huggingface.co/docs/transformers/en/chat_templating#applychattemplate) function from Hugging Face transformers.
+You can automatically apply it using the dedicated [`.apply_chat_template()`](https://huggingface.co/docs/transformers/en/chat_templating#applychattemplate) function from Hugging Face transformers.
 
 **Tool use**: It consists of four main steps:
 1. **Function definition**: LFM2 takes JSON function definitions as input (JSON objects between `<|tool_list_start|>` and `<|tool_list_end|>` special tokens), usually in the system prompt