What does this PR do?

This PR add {% generation %} tags/markers for glm-4-moe: part of #5471

• nit: sorted models list to lexicographical order

• added think patch like in qwen3, same pattern, on top of {% generation %}

• TestGetTrainingChatTemplate suite fully passes with transformers > 5

(not sure) I didn't add a skipif like in : added per codex review

Llama PR reverted

diff --git a/trl/chat_template_utils.py b/trl/chat_template_utils.py
--- a/trl/chat_template_utils.py
+++ b/trl/chat_template_utils.py
@@ -375,9 +375,7 @@ def get_training_chat_template(tokenizer: PreTrainedTokenizer) -> str | None:
 
     Returns a patched chat template that is prefix-preserving and includes `{%% generation %%}` / `{%% endgeneration
     %%}` markers for assistant-only loss masking. Returns `None` if the tokenizer's template already satisfies both
-    requirements. Currently supported:
-        - Qwen3
-        - GPT-OSS
+    requirements. Currently GPT-OSS, LLaMA 3 and Qwen3 are supported.
 
     Args:
         tokenizer (`PreTrainedTokenizer`):

This is going to be a long sentence with other models 😅

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following tool call #5463 @qgallouedec