diff --git a/conversion/afmoe.py b/conversion/afmoe.py
index 5e66a51da616..844925dca7be 100644
--- a/conversion/afmoe.py
+++ b/conversion/afmoe.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("AfmoeForCausalLM")
+@ModelBase.example("arcee-ai/Trinity-Large-Thinking")
 class AfmoeModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.AFMOE
 
diff --git a/conversion/arctic.py b/conversion/arctic.py
index 775cacaab9f5..843e24a7b9ed 100644
--- a/conversion/arctic.py
+++ b/conversion/arctic.py
@@ -16,6 +16,7 @@
 
 
 @ModelBase.register("ArcticForCausalLM")
+@ModelBase.example("Snowflake/snowflake-arctic-instruct")
 class ArcticModel(TextModel):
     model_arch = gguf.MODEL_ARCH.ARCTIC
 
diff --git a/conversion/baichuan.py b/conversion/baichuan.py
index 4cf34057cd9a..769bdd56780e 100644
--- a/conversion/baichuan.py
+++ b/conversion/baichuan.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("BaichuanForCausalLM", "BaiChuanForCausalLM")
+@ModelBase.example("baichuan-inc/Baichuan2-7B-Chat", "baichuan-inc/Baichuan-7B")
 class BaichuanModel(TextModel):
     model_arch = gguf.MODEL_ARCH.BAICHUAN
 
diff --git a/conversion/bailingmoe.py b/conversion/bailingmoe.py
index 2c6425cb6436..351be1df1758 100644
--- a/conversion/bailingmoe.py
+++ b/conversion/bailingmoe.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("BailingMoeForCausalLM")
+@ModelBase.example("inclusionAI/Ling-lite")
 class BailingMoeModel(TextModel):
     model_arch = gguf.MODEL_ARCH.BAILINGMOE
 
@@ -108,6 +109,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("BailingMoeV2ForCausalLM")
+@ModelBase.example("inclusionAI/Ling-mini-2.0")
 class BailingMoeV2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.BAILINGMOE2
 
@@ -189,6 +191,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("SarvamMoEForCausalLM", "modeling_sarvam_moe.SarvamMoEForCausalLM")
+@ModelBase.example("sarvamai/sarvam-30b")
 class SarvamMoEModel(BailingMoeV2Model):
     model_arch = gguf.MODEL_ARCH.BAILINGMOE2
     # Sarvam-MoE shares the BailingMoeV2 architecture; only differences:
diff --git a/conversion/bailingmoe3.py b/conversion/bailingmoe3.py
index 3b0501bb2ad2..20bba23e51c6 100644
--- a/conversion/bailingmoe3.py
+++ b/conversion/bailingmoe3.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("BailingMoeV3ForCausalLM")
+@ModelBase.example("inclusionAI/Ling-3.0-tiny", "inclusionAI/Ling-3.0-flash")
 class BailingMoeV3Model(TextModel):
     model_arch = gguf.MODEL_ARCH.BAILINGMOE3
     supports_mtp_export = True
diff --git a/conversion/base.py b/conversion/base.py
index 4f4fbca347aa..56547ace009f 100644
--- a/conversion/base.py
+++ b/conversion/base.py
@@ -1149,6 +1149,14 @@ def func(modelcls: AnyModel) -> AnyModel:
             return modelcls
         return func
 
+    @classmethod
+    def example(cls, *hf_repos: str) -> Callable[[AnyModel], AnyModel]:
+        del hf_repos  # unused
+
+        def func(modelcls: AnyModel) -> AnyModel:
+            return modelcls
+        return func
+
     @classmethod
     def print_registered_models(cls):
         for model_type, model_classes in cls._model_classes.items():
diff --git a/conversion/bert.py b/conversion/bert.py
index 0d25d0d62df5..8ea6c42dc619 100644
--- a/conversion/bert.py
+++ b/conversion/bert.py
@@ -15,6 +15,7 @@
 
 
 @ModelBase.register("BertModel", "BertForMaskedLM", "CamembertModel", "BertForSequenceClassification")
+@ModelBase.example("BAAI/bge-small-en-v1.5", "dangvantuan/sentence-camembert-base")
 class BertModel(TextModel):
     model_arch = gguf.MODEL_ARCH.BERT
 
@@ -240,6 +241,7 @@ def _xlmroberta_set_vocab(self) -> None:
 
 
 @ModelBase.register("DistilBertModel", "DistilBertForMaskedLM", "DistilBertForSequenceClassification")
+@ModelBase.example("distilbert/distilbert-base-uncased")
 class DistilBertModel(BertModel):
     model_arch = gguf.MODEL_ARCH.BERT
 
@@ -263,6 +265,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("RobertaModel", "RobertaForSequenceClassification")
+@ModelBase.example("sentence-transformers/stsb-roberta-base")
 class RobertaModel(BertModel):
     model_arch = gguf.MODEL_ARCH.BERT
 
@@ -312,6 +315,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("NomicBertModel")
+@ModelBase.example("nomic-ai/nomic-embed-text-v1.5")
 class NomicBertModel(BertModel):
     model_arch = gguf.MODEL_ARCH.BERT
 
@@ -400,6 +404,7 @@ def _is_tokenizer_xlmroberta(self) -> bool:
 
 
 @ModelBase.register("NeoBERT", "NeoBERTLMHead", "NeoBERTForSequenceClassification")
+@ModelBase.example("chandar-lab/NeoBERT")
 class NeoBert(BertModel):
     model_arch = gguf.MODEL_ARCH.NEO_BERT
 
@@ -431,6 +436,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("EuroBertModel", "JinaEmbeddingsV5Model")
+@ModelBase.example("hf-tiny-v2/tiny-random-EuroBertModel", "jinaai/jina-embeddings-v5-text-nano")
 class EuroBertModel(TextModel):
     model_arch = gguf.MODEL_ARCH.EUROBERT
 
@@ -459,6 +465,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("XLMRobertaModel", "XLMRobertaForSequenceClassification")
+@ModelBase.example("BAAI/bge-m3")
 class XLMRobertaModel(BertModel):
     model_arch = gguf.MODEL_ARCH.BERT
     _lora_files = {}
@@ -561,6 +568,7 @@ def write(self):
 
 
 @ModelBase.register("JinaBertModel", "JinaBertForMaskedLM")
+@ModelBase.example("jinaai/jina-embeddings-v2-base-en")
 class JinaBertV2Model(BertModel):
     model_arch = gguf.MODEL_ARCH.JINA_BERT_V2
 
@@ -588,6 +596,7 @@ def set_vocab(self):
 
 
 @ModelBase.register("ModernBertModel", "ModernBertForMaskedLM", "ModernBertForSequenceClassification")
+@ModelBase.example("answerdotai/ModernBERT-base")
 class ModernBertModel(BertModel):
     model_arch = gguf.MODEL_ARCH.MODERN_BERT
 
diff --git a/conversion/bitnet.py b/conversion/bitnet.py
index 0c2baee87608..82bcadaf9a69 100644
--- a/conversion/bitnet.py
+++ b/conversion/bitnet.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("BitnetForCausalLM", "BitNetForCausalLM")
+@ModelBase.example("microsoft/bitnet-b1.58-2B-4T")
 class BitnetModel(TextModel):
     model_arch = gguf.MODEL_ARCH.BITNET
 
diff --git a/conversion/bloom.py b/conversion/bloom.py
index d98edf6d500d..9654cd4a0f51 100644
--- a/conversion/bloom.py
+++ b/conversion/bloom.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("BloomForCausalLM", "BloomModel")
+@ModelBase.example("bigscience/bloom-560m")
 class BloomModel(TextModel):
     model_arch = gguf.MODEL_ARCH.BLOOM
 
diff --git a/conversion/chameleon.py b/conversion/chameleon.py
index a996bfa53cfc..8f2065df6634 100644
--- a/conversion/chameleon.py
+++ b/conversion/chameleon.py
@@ -12,6 +12,8 @@
 
 @ModelBase.register("ChameleonForConditionalGeneration")
 @ModelBase.register("ChameleonForCausalLM")  # obsolete
+# [TAG_HF_EXAMPLE_GATED] facebook/chameleon-7b is gated
+# [TAG_HF_EXAMPLE_MISSING]
 class ChameleonModel(TextModel):
     model_arch = gguf.MODEL_ARCH.CHAMELEON
 
diff --git a/conversion/chatglm.py b/conversion/chatglm.py
index d6385503877c..9b902dae30c4 100644
--- a/conversion/chatglm.py
+++ b/conversion/chatglm.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("GlmForCausalLM", "ChatGLMModel", "ChatGLMForConditionalGeneration")
+@ModelBase.example("THUDM/chatglm3-6b", "zai-org/glm-4-9b-chat-hf")
 class ChatGLMModel(TextModel):
     model_arch = gguf.MODEL_ARCH.CHATGLM
 
diff --git a/conversion/codeshell.py b/conversion/codeshell.py
index 8bfc3178d46b..1c7f1129b549 100644
--- a/conversion/codeshell.py
+++ b/conversion/codeshell.py
@@ -4,6 +4,7 @@
 
 
 @ModelBase.register("CodeShellForCausalLM")
+@ModelBase.example("WisdomShell/CodeShell-7B")
 class CodeShellModel(TextModel):
     model_arch = gguf.MODEL_ARCH.CODESHELL
 
diff --git a/conversion/cogvlm.py b/conversion/cogvlm.py
index d92df55d46ba..13c314441bfa 100644
--- a/conversion/cogvlm.py
+++ b/conversion/cogvlm.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("CogVLMForCausalLM")
+@ModelBase.example("THUDM/cogvlm2-llama3-chat-19B", "THUDM/cogvlm-chat-hf")
 class CogVLMVisionModel(MmprojModel):
 
     def set_gguf_parameters(self):
@@ -29,5 +30,6 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("CogVLMForCausalLM")
+@ModelBase.example("THUDM/cogvlm2-llama3-chat-19B", "THUDM/cogvlm-chat-hf")
 class CogVLMModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.COGVLM
diff --git a/conversion/command_r.py b/conversion/command_r.py
index 118565c66973..971f93ebdf12 100644
--- a/conversion/command_r.py
+++ b/conversion/command_r.py
@@ -12,6 +12,8 @@
 
 
 @ModelBase.register("CohereForCausalLM")
+# [TAG_HF_EXAMPLE_GATED] CohereLabs/c4ai-command-r-v01 is gated
+# [TAG_HF_EXAMPLE_MISSING]
 class CommandR2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.COMMAND_R
 
@@ -30,6 +32,8 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Cohere2ForCausalLM")
+# [TAG_HF_EXAMPLE_GATED] CohereLabs/c4ai-command-r7b-12-2024 is gated
+@ModelBase.example("hf-tiny-v2/tiny-random-Cohere2ForCausalLM")
 class Cohere2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.COHERE2
 
@@ -59,6 +63,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Cohere2MoeForCausalLM")
+@ModelBase.example("CohereLabs/North-Mini-Code-1.0")
 class Cohere2MoeModel(TextModel):
     model_arch = gguf.MODEL_ARCH.COHERE2MOE
     _n_main_layers: int | None = None
diff --git a/conversion/dbrx.py b/conversion/dbrx.py
index 207ebcb8931b..d37ce83e7845 100644
--- a/conversion/dbrx.py
+++ b/conversion/dbrx.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("DbrxForCausalLM")
+@ModelBase.example("alpindale/dbrx-instruct")
 class DbrxModel(TextModel):
     model_arch = gguf.MODEL_ARCH.DBRX
 
diff --git a/conversion/deci.py b/conversion/deci.py
index be446eefa637..2ccaa92a98ef 100644
--- a/conversion/deci.py
+++ b/conversion/deci.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("DeciLMForCausalLM")
+@ModelBase.example("nvidia/Llama-3_1-Nemotron-51B-Instruct", "Deci/DeciLM-7B")
 class DeciModel(TextModel):
     model_arch = gguf.MODEL_ARCH.DECI
 
diff --git a/conversion/deepseek.py b/conversion/deepseek.py
index dbfa96c2ee22..225f8645d86f 100644
--- a/conversion/deepseek.py
+++ b/conversion/deepseek.py
@@ -18,6 +18,7 @@
 
 
 @ModelBase.register("DeepseekOCRForCausalLM")
+@ModelBase.example("deepseek-ai/DeepSeek-OCR")
 class DeepseekOCRVisionModel(MmprojModel):
     # HF dynamic_preprocess() max_num, which differs per model
     preproc_max_tiles = 9
@@ -100,11 +101,13 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("UnlimitedOCRForCausalLM")
+@ModelBase.example("baidu/Unlimited-OCR")
 class UnlimitedOCRVisionModel(DeepseekOCRVisionModel):
     preproc_max_tiles = 32
 
 
 @ModelBase.register("DeepseekOCR2ForCausalLM")
+@ModelBase.example("deepseek-ai/DeepSeek-OCR-2")
 class DeepseekOCR2VisionModel(DeepseekOCRVisionModel):
     preproc_max_tiles = 6
 
@@ -134,6 +137,7 @@ def get_vision_config(self) -> dict[str, Any]:
 
 
 @ModelBase.register("DeepseekForCausalLM")
+@ModelBase.example("deepseek-ai/deepseek-moe-16b-chat")
 class DeepseekModel(TextModel):
     model_arch = gguf.MODEL_ARCH.DEEPSEEK
 
@@ -228,6 +232,7 @@ def prepare_tensors(self):
     "YoutuForCausalLM",
     "YoutuVLForConditionalGeneration",
 )
+@ModelBase.example("deepseek-ai/DeepSeek-V2-Lite", "deepseek-ai/DeepSeek-V3")
 class DeepseekV2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.DEEPSEEK2
 
@@ -457,6 +462,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("DeepseekV32ForCausalLM")
+@ModelBase.example("deepseek-ai/DeepSeek-V3.2-Exp")
 class DeepseekV32Model(DeepseekV2Model):
     model_arch = gguf.MODEL_ARCH.DEEPSEEK32
     skip_mtp = False
@@ -517,6 +523,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("DeepseekV4ForCausalLM")
+@ModelBase.example("deepseek-ai/DeepSeek-V4-Flash-Base")
 class DeepseekV4Model(TextModel):
     model_arch = gguf.MODEL_ARCH.DEEPSEEK4
     supports_mtp_export = True
@@ -911,6 +918,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("DeepseekV4DSparkModel")
+@ModelBase.example("deepseek-ai/DeepSeek-V4-Flash-DSpark")
 class DeepseekV4DSparkModel(DeepseekV4Model):
     model_arch = gguf.MODEL_ARCH.DFLASH
 
diff --git a/conversion/dots1.py b/conversion/dots1.py
index 7ac299a6e656..ffa3b6db4459 100644
--- a/conversion/dots1.py
+++ b/conversion/dots1.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("Dots1ForCausalLM")
+@ModelBase.example("rednote-hilab/dots.llm1.inst")
 class Dots1Model(Qwen2MoeModel):
     model_arch = gguf.MODEL_ARCH.DOTS1
 
diff --git a/conversion/dotsocr.py b/conversion/dotsocr.py
index f87f62abde98..ace6aa9a13d5 100644
--- a/conversion/dotsocr.py
+++ b/conversion/dotsocr.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("DotsOCRForCausalLM")
+@ModelBase.example("rednote-hilab/dots.ocr")
 class DotsOCRVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
diff --git a/conversion/dream.py b/conversion/dream.py
index 459e8d46afb2..14f25404d67f 100644
--- a/conversion/dream.py
+++ b/conversion/dream.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("DreamModel")
+@ModelBase.example("Dream-org/Dream-v0-Instruct-7B")
 class DreamModel(TextModel):
     model_arch = gguf.MODEL_ARCH.DREAM
 
diff --git a/conversion/ernie.py b/conversion/ernie.py
index aa8a3bc8ee58..3c4226a2598a 100644
--- a/conversion/ernie.py
+++ b/conversion/ernie.py
@@ -15,6 +15,7 @@
 
 
 @ModelBase.register("Ernie4_5_ForCausalLM", "Ernie4_5ForCausalLM")
+@ModelBase.example("baidu/ERNIE-4.5-0.3B-PT")
 class Ernie4_5Model(TextModel):
     model_arch = gguf.MODEL_ARCH.ERNIE4_5
 
@@ -73,6 +74,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Ernie4_5_MoeForCausalLM")
+@ModelBase.example("baidu/ERNIE-4.5-21B-A3B-PT")
 class Ernie4_5MoeModel(Ernie4_5Model):
     model_arch = gguf.MODEL_ARCH.ERNIE4_5_MOE
     _experts: list[dict[str, Tensor]] | None = None
@@ -156,11 +158,13 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("PaddleOCRVLForConditionalGeneration")
+@ModelBase.example("PaddlePaddle/PaddleOCR-VL")
 class PaddleOCRModel(Ernie4_5Model):
     model_arch = gguf.MODEL_ARCH.PADDLEOCR
 
 
 @ModelBase.register("PaddleOCRVisionModel")
+@ModelBase.example("PaddlePaddle/PaddleOCR-VL")
 class PaddleOCRVisionModel(MmprojModel):
     # PaddleOCR-VL uses a modified version of Siglip
     min_pixels: int = 0
diff --git a/conversion/exaone.py b/conversion/exaone.py
index 1cd2244dbc3d..0919d2ffafe8 100644
--- a/conversion/exaone.py
+++ b/conversion/exaone.py
@@ -15,6 +15,7 @@
 
 
 @ModelBase.register("ExaoneForCausalLM")
+@ModelBase.example("LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct")
 class ExaoneModel(TextModel):
     model_arch = gguf.MODEL_ARCH.EXAONE
 
@@ -60,6 +61,7 @@ def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
 
 
 @ModelBase.register("Exaone4ForCausalLM")
+@ModelBase.example("LGAI-EXAONE/EXAONE-4.0-32B")
 class Exaone4Model(TextModel):
     model_arch = gguf.MODEL_ARCH.EXAONE4
 
@@ -126,6 +128,7 @@ def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
 # note: transformers >= 5.1 renamed the class to "ExaoneMoeForCausalLM" (lowercase 'e'),
 #       so accept both spellings - LG AI have updated the configs of already-released models
 @ModelBase.register("ExaoneMoEForCausalLM", "ExaoneMoeForCausalLM")
+@ModelBase.example("LGAI-EXAONE/K-EXAONE-236B-A23B")
 class ExaoneMoEModel(Exaone4Model):
     model_arch = gguf.MODEL_ARCH.EXAONE_MOE
 
@@ -214,6 +217,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("Exaone4_5_ForConditionalGeneration")
+@ModelBase.example("LGAI-EXAONE/EXAONE-4.5-33B")
 class Exaone4_5_TextModel(Exaone4Model):
     """Text tower of EXAONE 4.5; Tensors match EXAONE4"""
 
@@ -267,6 +271,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Exaone4_5_ForConditionalGeneration")
+@ModelBase.example("LGAI-EXAONE/EXAONE-4.5-33B")
 class Exaone4_5VisionModel(Qwen2VLVisionModel):
     """Vision tower for EXAONE 4.5; Qwen2-VL-style ViT (GQA) + patch merger"""
 
diff --git a/conversion/falcon.py b/conversion/falcon.py
index 085fd4cd33ff..2c55511a09b4 100644
--- a/conversion/falcon.py
+++ b/conversion/falcon.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("FalconForCausalLM", "RWForCausalLM")
+@ModelBase.example("tiiuae/falcon-7b")
 class FalconModel(TextModel):
     model_arch = gguf.MODEL_ARCH.FALCON
 
diff --git a/conversion/falcon_h1.py b/conversion/falcon_h1.py
index a8bc880b2c41..6686f7001c7a 100644
--- a/conversion/falcon_h1.py
+++ b/conversion/falcon_h1.py
@@ -12,6 +12,7 @@
 
 
 @ModelBase.register("FalconH1ForCausalLM")
+@ModelBase.example("tiiuae/Falcon-H1-0.5B-Base")
 class FalconH1Model(Mamba2Model):
     model_arch = gguf.MODEL_ARCH.FALCON_H1
 
diff --git a/conversion/gemma.py b/conversion/gemma.py
index f15a10a38bb6..6b4d7d17154d 100644
--- a/conversion/gemma.py
+++ b/conversion/gemma.py
@@ -14,6 +14,8 @@
 
 
 @ModelBase.register("GemmaForCausalLM")
+# [TAG_HF_EXAMPLE_GATED] google/gemma-2b is gated
+@ModelBase.example("trl-internal-testing/tiny-GemmaForCausalLM")
 class GemmaModel(TextModel):
     model_arch = gguf.MODEL_ARCH.GEMMA
 
@@ -68,6 +70,8 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Gemma2ForCausalLM")
+# [TAG_HF_EXAMPLE_GATED] google/gemma-2-9b-it is gated
+@ModelBase.example("trl-internal-testing/tiny-Gemma2ForCausalLM")
 class Gemma2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.GEMMA2
 
@@ -118,6 +122,8 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Gemma3ForCausalLM", "Gemma3ForConditionalGeneration")
+# [TAG_HF_EXAMPLE_GATED] google/gemma-3-4b-it is gated
+@ModelBase.example("trl-internal-testing/tiny-Gemma3ForConditionalGeneration", "hf-tiny-v2/tiny-random-Gemma3ForCausalLM")
 class Gemma3Model(TextModel):
     model_arch = gguf.MODEL_ARCH.GEMMA3
 
@@ -174,6 +180,8 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Gemma3TextModel")
+# [TAG_HF_EXAMPLE_GATED] google/embeddinggemma-300m is gated
+@ModelBase.example("hf-tiny-v2/tiny-random-Gemma3TextModel")
 class EmbeddingGemma(Gemma3Model):
     model_arch = gguf.MODEL_ARCH.GEMMA_EMBEDDING
     module_paths = []
@@ -248,6 +256,8 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Gemma3ForConditionalGeneration")
+# [TAG_HF_EXAMPLE_GATED] google/gemma-3-4b-it is gated
+@ModelBase.example("trl-internal-testing/tiny-Gemma3ForConditionalGeneration")
 class Gemma3VisionModel(MmprojModel):
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
@@ -352,6 +362,8 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Gemma3nForConditionalGeneration")
+# [TAG_HF_EXAMPLE_GATED] google/gemma-3n-E2B-it is gated
+@ModelBase.example("hf-tiny-v2/tiny-random-Gemma3nForConditionalGeneration")
 class Gemma3nVisionAudioModel(ConformerAudioModel):
     has_audio_encoder = True
     has_vision_encoder = True
@@ -471,6 +483,8 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Gemma3nForCausalLM", "Gemma3nForConditionalGeneration")
+# [TAG_HF_EXAMPLE_GATED] google/gemma-3n-E2B-it is gated
+@ModelBase.example("hf-tiny-v2/tiny-random-Gemma3nForConditionalGeneration")
 class Gemma3NModel(Gemma3Model):
     model_arch = gguf.MODEL_ARCH.GEMMA3N
 
@@ -615,6 +629,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Gemma4ForConditionalGeneration", "Gemma4ForCausalLM")
+@ModelBase.example("google/gemma-4-31B-it", "google/gemma-4-26B-A4B-it", "google/gemma-4-E2B-it")
 class Gemma4Model(Gemma3Model):
     model_arch = gguf.MODEL_ARCH.GEMMA4
 
@@ -795,6 +810,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Gemma4UnifiedForConditionalGeneration")
+@ModelBase.example("hf-tiny-v2/tiny-random-Gemma4UnifiedForConditionalGeneration")
 class Gemma4UnifiedModel(Gemma4Model):
     model_arch = gguf.MODEL_ARCH.GEMMA4
 
@@ -815,6 +831,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Gemma4AssistantForCausalLM", "Gemma4UnifiedAssistantForCausalLM")
+@ModelBase.example("google/gemma-4-31B-it-assistant", "google/gemma-4-26B-A4B-it-assistant", "google/gemma-4-E2B-it-assistant")
 class Gemma4AssistantModel(Gemma4Model):
     model_arch = gguf.MODEL_ARCH.GEMMA4_ASSISTANT
 
@@ -835,6 +852,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Gemma4ForConditionalGeneration")
+@ModelBase.example("google/gemma-4-31B-it", "google/gemma-4-26B-A4B-it", "google/gemma-4-E2B-it")
 class Gemma4VisionAudioModel(MmprojModel):
     has_audio_encoder = True
     has_vision_encoder = True
@@ -913,6 +931,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Gemma4UnifiedForConditionalGeneration")
+@ModelBase.example("hf-tiny-v2/tiny-random-Gemma4UnifiedForConditionalGeneration")
 class Gemma4UnifiedVisionAudioModel(Gemma4VisionAudioModel):
     has_audio_encoder = True
     has_vision_encoder = True
diff --git a/conversion/glm.py b/conversion/glm.py
index e28f54574e07..abd7f279f9b0 100644
--- a/conversion/glm.py
+++ b/conversion/glm.py
@@ -15,6 +15,7 @@
 
 
 @ModelBase.register("Glm4ForCausalLM", "Glm4vForConditionalGeneration")
+@ModelBase.example("zai-org/GLM-4-9B-0414")
 class Glm4Model(TextModel):
     model_arch = gguf.MODEL_ARCH.GLM4
     use_mrope = False
@@ -86,6 +87,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("GlmOcrForConditionalGeneration")
+@ModelBase.example("zai-org/GLM-OCR")
 class GlmOCRModel(Glm4Model):
     model_arch = gguf.MODEL_ARCH.GLM4
     use_mrope = False
@@ -107,6 +109,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Glm4MoeForCausalLM", "Glm4vMoeForConditionalGeneration")
+@ModelBase.example("zai-org/GLM-4.5-Air")
 class Glm4MoeModel(TextModel):
     model_arch = gguf.MODEL_ARCH.GLM4_MOE
 
@@ -204,6 +207,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("Glm4MoeLiteForCausalLM")
+@ModelBase.example("zai-org/GLM-4.7-Flash")
 class Glm4MoeLiteModel(DeepseekV2Model):
     model_arch = gguf.MODEL_ARCH.DEEPSEEK2
     skip_mtp = False
@@ -272,6 +276,7 @@ def prepare_metadata(self, vocab_only: bool):
 
 
 @ModelBase.register("GlmMoeDsaForCausalLM")
+@ModelBase.example("zai-org/GLM-5.2")
 class GlmMoeDsaModel(DeepseekV2Model):
     model_arch = gguf.MODEL_ARCH.GLM_DSA
     skip_mtp = False
@@ -340,6 +345,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("SolarOpenForCausalLM")
+@ModelBase.example("upstage/Solar-Open-100B")
 class SolarOpenModel(Glm4MoeModel):
     model_arch = gguf.MODEL_ARCH.GLM4_MOE
 
diff --git a/conversion/gpt2.py b/conversion/gpt2.py
index 1cf06ae8b50c..06dff9e4c7f6 100644
--- a/conversion/gpt2.py
+++ b/conversion/gpt2.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("GPT2LMHeadModel")
+@ModelBase.example("openai-community/gpt2")
 class GPT2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.GPT2
 
@@ -38,6 +39,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("RuGPT3XLForCausalLM")
+@ModelBase.example("evilfreelancer/ruGPT3XL")
 class RuGPT3XLModel(TextModel):
     model_arch = gguf.MODEL_ARCH.GPT2
 
diff --git a/conversion/gpt_oss.py b/conversion/gpt_oss.py
index d2c70c0bba56..7542ec0ea8df 100644
--- a/conversion/gpt_oss.py
+++ b/conversion/gpt_oss.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("GptOssForCausalLM")
+@ModelBase.example("openai/gpt-oss-20b")
 class GptOssModel(TextModel):
     model_arch = gguf.MODEL_ARCH.GPT_OSS
 
diff --git a/conversion/gptneox.py b/conversion/gptneox.py
index 6a42b12b15af..0b0e91c4f516 100644
--- a/conversion/gptneox.py
+++ b/conversion/gptneox.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("GPTNeoXForCausalLM")
+@ModelBase.example("EleutherAI/pythia-70m")
 class GPTNeoXModel(TextModel):
     model_arch = gguf.MODEL_ARCH.GPTNEOX
 
diff --git a/conversion/granite.py b/conversion/granite.py
index 956342e6d68a..5f1e3e847270 100644
--- a/conversion/granite.py
+++ b/conversion/granite.py
@@ -15,6 +15,7 @@
 
 
 @ModelBase.register("GraniteForCausalLM")
+@ModelBase.example("ibm-granite/granite-3.3-2b-instruct")
 class GraniteModel(LlamaModel):
     """Conversion for IBM's GraniteForCausalLM"""
     model_arch = gguf.MODEL_ARCH.GRANITE
@@ -74,6 +75,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("GraniteMoeForCausalLM", "GraniteMoeSharedForCausalLM")
+@ModelBase.example("ibm-granite/granite-3.1-3b-a800m-instruct")
 class GraniteMoeModel(GraniteModel):
     """Conversion for IBM's GraniteMoeForCausalLM"""
     model_arch = gguf.MODEL_ARCH.GRANITE_MOE
@@ -124,6 +126,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("GraniteSwitchForCausalLM")
+@ModelBase.example("ibm-granite/granite-switch-4.1-3b-preview")
 class GraniteSwitchModel(GraniteMoeModel):
     """Dense, all-attention Granite with N per-token embedded LoRA adapters, stacked
     over the adapter dim with a zero adapter at slot 0 (N = num_adapters + 1)."""
@@ -284,6 +287,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("GraniteMoeHybridForCausalLM", "BambaForCausalLM")
+@ModelBase.example("ibm-granite/granite-4.0-h-tiny", "ibm-ai-platform/Bamba-9B-v2")
 class GraniteHybridModel(Mamba2Model, GraniteMoeModel):
     """GraniteHybrid is a hybrid SSM + Attention model that uses Mamba2 SSM
     layers and optionally uses MoE w/ a shared expert"""
@@ -426,6 +430,7 @@ def set_vocab(self):
 
 
 @ModelBase.register("GraniteSpeechForConditionalGeneration")
+@ModelBase.example("ibm-granite/granite-speech-3.3-2b", "ibm-granite/granite-4.0-1b-speech")
 class GraniteSpeechMmprojModel(MmprojModel):
     has_vision_encoder = False
     has_audio_encoder = True
@@ -509,6 +514,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("GraniteSpeechPlusForConditionalGeneration")
+@ModelBase.example("ibm-granite/granite-speech-4.1-2b-plus")
 class GraniteSpeechPlusMmprojModel(GraniteSpeechMmprojModel):
     """Conversion for GraniteSpeechPlus - extends GraniteSpeech with feature layer concatenation"""
     has_vision_encoder = False
@@ -537,6 +543,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Granite4VisionForConditionalGeneration")
+@ModelBase.example("ibm-granite/granite-4.0-3b-vision")
 class Granite4VisionMmprojModel(MmprojModel):
     has_vision_encoder = True
     has_audio_encoder = False
diff --git a/conversion/grok.py b/conversion/grok.py
index 9098e514a3a9..b966361d299d 100644
--- a/conversion/grok.py
+++ b/conversion/grok.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("GrokForCausalLM", "Grok1ForCausalLM")
+@ModelBase.example("keyfan/grok-1-hf")
 class GrokModel(TextModel):
     model_arch = gguf.MODEL_ARCH.GROK
 
diff --git a/conversion/grovemoe.py b/conversion/grovemoe.py
index a8be931cb900..f418f18ac407 100644
--- a/conversion/grovemoe.py
+++ b/conversion/grovemoe.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("GroveMoeForCausalLM", "modeling_grove_moe.GroveMoeForCausalLM")
+@ModelBase.example("inclusionAI/GroveMoE-Inst")
 class GroveMoeModel(TextModel):
     model_arch = gguf.MODEL_ARCH.GROVEMOE
 
diff --git a/conversion/hunyuan.py b/conversion/hunyuan.py
index f5ac8a4fb7f1..ee1a10654523 100644
--- a/conversion/hunyuan.py
+++ b/conversion/hunyuan.py
@@ -17,6 +17,7 @@
 
 
 @ModelBase.register("HunYuanMoEV1ForCausalLM")
+@ModelBase.example("tencent/Hunyuan-A13B-Instruct")
 class HunYuanMoEModel(TextModel):
     model_arch = gguf.MODEL_ARCH.HUNYUAN_MOE
 
@@ -154,6 +155,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("HunYuanDenseV1ForCausalLM")
+@ModelBase.example("tencent/Hunyuan-4B-Instruct")
 class HunYuanModel(TextModel):
     model_arch = gguf.MODEL_ARCH.HUNYUAN_DENSE
 
@@ -290,6 +292,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("HunYuanVLForConditionalGeneration")
+@ModelBase.example("tencent/HunyuanOCR")
 class HunyuanVLVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -333,6 +336,7 @@ def tensor_force_quant(self, name, new_name, bid, n_dims):
 
 
 @ModelBase.register("HunYuanVLForConditionalGeneration")
+@ModelBase.example("tencent/HunyuanOCR")
 class HunyuanVLTextModel(HunYuanModel):
     model_arch = gguf.MODEL_ARCH.HUNYUAN_VL
 
@@ -365,6 +369,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("HYV3ForCausalLM")
+@ModelBase.example("tencent/Hy3")
 class HYV3Model(TextModel):
     model_arch = gguf.MODEL_ARCH.HY_V3
     supports_mtp_export = True
diff --git a/conversion/internlm.py b/conversion/internlm.py
index 7e11aca3ce0c..df2668474fe6 100644
--- a/conversion/internlm.py
+++ b/conversion/internlm.py
@@ -14,6 +14,7 @@
 
 
 @ModelBase.register("InternLM2ForCausalLM")
+@ModelBase.example("internlm/internlm2-chat-7b")
 class InternLM2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.INTERNLM2
 
@@ -170,6 +171,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("InternLM3ForCausalLM")
+@ModelBase.example("internlm/internlm3-8b-instruct")
 class InternLM3Model(TextModel):
     model_arch = gguf.MODEL_ARCH.LLAMA
 
diff --git a/conversion/internvl.py b/conversion/internvl.py
index 9a2a1e43df74..799e23f5f58a 100644
--- a/conversion/internvl.py
+++ b/conversion/internvl.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("InternVisionModel")
+@ModelBase.example("OpenGVLab/InternVL3-2B", "OpenGVLab/InternVL2_5-1B")
 class InternVisionModel(MmprojModel):
 
     min_dynamic_tiles: int = 0
diff --git a/conversion/jais.py b/conversion/jais.py
index 00add4c77fc2..f3f96c3efd65 100644
--- a/conversion/jais.py
+++ b/conversion/jais.py
@@ -11,6 +11,8 @@
 
 
 @ModelBase.register("Jais2ForCausalLM")
+# [TAG_HF_EXAMPLE_GATED] inceptionai/Jais-2-8B-Chat is gated
+# [TAG_HF_EXAMPLE_MISSING]
 class Jais2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.JAIS2
 
@@ -22,6 +24,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("JAISLMHeadModel")
+@ModelBase.example("inceptionai/jais-family-590m")
 class JaisModel(TextModel):
     model_arch = gguf.MODEL_ARCH.JAIS
 
diff --git a/conversion/jamba.py b/conversion/jamba.py
index da712ba50143..a2e642cb0168 100644
--- a/conversion/jamba.py
+++ b/conversion/jamba.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("JambaForCausalLM")
+@ModelBase.example("ai21labs/Jamba-v0.1")
 class JambaModel(TextModel):
     model_arch = gguf.MODEL_ARCH.JAMBA
 
diff --git a/conversion/januspro.py b/conversion/januspro.py
index b49691205cc7..0f71ab3cd66b 100644
--- a/conversion/januspro.py
+++ b/conversion/januspro.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("JanusForConditionalGeneration")
+@ModelBase.example("deepseek-community/Janus-Pro-1B")
 class JanusProModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.LLAMA  # reuse Llama arch
 
@@ -34,6 +35,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("JanusForConditionalGeneration")
+@ModelBase.example("deepseek-community/Janus-Pro-1B")
 class JanusProVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
diff --git a/conversion/kimi_k3.py b/conversion/kimi_k3.py
index a5005e15bd62..d15d1d64bfb9 100644
--- a/conversion/kimi_k3.py
+++ b/conversion/kimi_k3.py
@@ -16,6 +16,7 @@
 
 
 @ModelBase.register("KimiK3ForConditionalGeneration")
+@ModelBase.example("moonshotai/Kimi-K3")
 class KimiK3Model(TextModel):
     """
     Kimi-K3 text model (KimiLinearForCausalLM under a `language_model.` prefix).
diff --git a/conversion/kimi_linear.py b/conversion/kimi_linear.py
index f2e6cda83c1f..697ab1b4a9ed 100644
--- a/conversion/kimi_linear.py
+++ b/conversion/kimi_linear.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("KimiLinearModel", "KimiLinearForCausalLM")
+@ModelBase.example("moonshotai/Kimi-Linear-48B-A3B-Instruct")
 class KimiLinearModel(TextModel):
     """Kimi-Linear model with hybrid MLA+KDA architecture"""
     model_arch = gguf.MODEL_ARCH.KIMI_LINEAR
diff --git a/conversion/kimivl.py b/conversion/kimivl.py
index 5ff3c39ca9c1..ae60abf30983 100644
--- a/conversion/kimivl.py
+++ b/conversion/kimivl.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("KimiVLForConditionalGeneration")
+@ModelBase.example("moonshotai/Kimi-VL-A3B-Instruct")
 class KimiVLModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -52,6 +53,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("KimiK25ForConditionalGeneration")
+@ModelBase.example("moonshotai/Kimi-K2.5")
 class KimiK25Model(MmprojModel):
     """Kimi-K2.5 with MoonViT3d vision encoder"""
 
@@ -155,6 +157,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Glm5vForConditionalGeneration")
+# [TAG_HF_EXAMPLE_MISSING]
 class Glm5vModel(KimiK25Model):
     """GLM-5.2-Vision MoonViT3d encoder and projector
 
diff --git a/conversion/laguna.py b/conversion/laguna.py
index a90f355ca9b1..29e0b3d6b318 100644
--- a/conversion/laguna.py
+++ b/conversion/laguna.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("LagunaForCausalLM")
+@ModelBase.example("poolside/Laguna-XS.2", "poolside/Laguna-S-2.1")
 class LagunaModel(TextModel):
     model_arch = gguf.MODEL_ARCH.LAGUNA
     _experts: list[dict] | None = None
diff --git a/conversion/lfm2.py b/conversion/lfm2.py
index 70ce45658be5..984f44480649 100644
--- a/conversion/lfm2.py
+++ b/conversion/lfm2.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("Lfm2ForCausalLM", "LFM2ForCausalLM")
+@ModelBase.example("LiquidAI/LFM2-1.2B", "LiquidAI/LFM2.5-350M")
 class LFM2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.LFM2
 
@@ -65,6 +66,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Lfm2Model", "Lfm2BidirectionalModel")
+@ModelBase.example("LiquidAI/LFM2.5-ColBERT-350M", "LiquidAI/LFM2.5-Embedding-350M")
 class LFM2ColBertModel(LFM2Model):
     model_arch = gguf.MODEL_ARCH.LFM2
     dense_tensor_name = "dense_2"
@@ -93,6 +95,7 @@ def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
 
 
 @ModelBase.register("Lfm2MoeForCausalLM")
+@ModelBase.example("LiquidAI/LFM2-8B-A1B")
 class LFM2MoeModel(TextModel):
     model_arch = gguf.MODEL_ARCH.LFM2MOE
 
@@ -166,6 +169,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("Lfm2VlForConditionalGeneration")
+@ModelBase.example("LiquidAI/LFM2-VL-450M")
 class LFM2VLModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -200,6 +204,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Lfm2AudioForConditionalGeneration")
+@ModelBase.example("LiquidAI/LFM2.5-Audio-1.5B", "LiquidAI/LFM2-Audio-1.5B")
 class LFM2AudioModel(ConformerAudioModel):
     has_vision_encoder = False
     has_audio_encoder = True
@@ -238,6 +243,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("Lfm25AudioTokenizer")
+@ModelBase.example("LiquidAI/LFM2.5-Audio-1.5B")
 class LFM25AudioTokenizer(LFM2Model):
     model_arch = gguf.MODEL_ARCH.LFM2
 
diff --git a/conversion/lighton_ocr.py b/conversion/lighton_ocr.py
index ead3200ac189..8686fe5c9186 100644
--- a/conversion/lighton_ocr.py
+++ b/conversion/lighton_ocr.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("LightOnOCRForConditionalGeneration")
+@ModelBase.example("lightonai/LightOnOCR-1B-1025")
 class LightOnOCRVisionModel(LlavaVisionModel):
     is_mistral_format = False
     use_break_tok = False
diff --git a/conversion/llada.py b/conversion/llada.py
index 98dc9de95b37..c03607191a76 100644
--- a/conversion/llada.py
+++ b/conversion/llada.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("LLaDAModelLM")
+@ModelBase.example("GSAI-ML/LLaDA-8B-Instruct")
 class LLaDAModel(TextModel):
     model_arch = gguf.MODEL_ARCH.LLADA
     undo_permute = True
@@ -114,6 +115,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("LLaDAMoEModel", "LLaDAMoEModelLM")
+@ModelBase.example("inclusionAI/LLaDA-MoE-7B-A1B-Instruct")
 class LLaDAMoEModel(TextModel):
     model_arch = gguf.MODEL_ARCH.LLADA_MOE
 
diff --git a/conversion/llama.py b/conversion/llama.py
index 1aced49c54d2..41d8c2309281 100644
--- a/conversion/llama.py
+++ b/conversion/llama.py
@@ -28,6 +28,8 @@
     "Eagle3DraftModel",
     "IQuestCoderForCausalLM",
     "LlamaModel")
+# [TAG_HF_EXAMPLE_GATED] meta-llama/Llama-3.2-1B-Instruct is gated
+@ModelBase.example("unsloth/Llama-3.2-1B-Instruct", "mistralai/Mistral-7B-Instruct-v0.3", "mistralai/Mixtral-8x7B-Instruct-v0.1")
 class LlamaModel(TextModel):
     model_arch = gguf.MODEL_ARCH.LLAMA
     undo_permute = True
@@ -359,6 +361,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("ArceeForCausalLM")
+@ModelBase.example("arcee-ai/AFM-4.5B")
 class ArceeModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.ARCEE
 
@@ -371,6 +374,8 @@ def set_gguf_parameters(self):
     "Llama4ForConditionalGeneration",
     "Llama4ForCausalLM",
 )
+# [TAG_HF_EXAMPLE_GATED] meta-llama/Llama-4-Scout-17B-16E-Instruct is gated
+@ModelBase.example("unsloth/Llama-4-Scout-17B-16E-Instruct")
 class Llama4Model(LlamaModel):
     model_arch = gguf.MODEL_ARCH.LLAMA4
     undo_permute = False
@@ -412,16 +417,19 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
 
 
 @ModelBase.register("LlamaBidirectionalModel")
+@ModelBase.example("nvidia/llama-embed-nemotron-8b")
 class LlamaEmbedNemotronModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.LLAMA_EMBED
 
 
 @ModelBase.register("SmolLM3ForCausalLM")
+@ModelBase.example("HuggingFaceTB/SmolLM3-3B")
 class SmolLM3Model(LlamaModel):
     model_arch = gguf.MODEL_ARCH.SMOLLM3
 
 
 @ModelBase.register("ApertusForCausalLM")
+@ModelBase.example("swiss-ai/Apertus-8B-Instruct-2509")
 class ApertusModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.APERTUS
     undo_permute = False
diff --git a/conversion/llama4.py b/conversion/llama4.py
index f84c76296193..280e309dd5a1 100644
--- a/conversion/llama4.py
+++ b/conversion/llama4.py
@@ -9,6 +9,8 @@
 
 
 @ModelBase.register("Llama4ForConditionalGeneration")
+# [TAG_HF_EXAMPLE_GATED] meta-llama/Llama-4-Scout-17B-16E-Instruct is gated
+@ModelBase.example("unsloth/Llama-4-Scout-17B-16E-Instruct")
 class Llama4VisionModel(MmprojModel):
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
diff --git a/conversion/llava.py b/conversion/llava.py
index 31d6e2ad80e1..98a004f98693 100644
--- a/conversion/llava.py
+++ b/conversion/llava.py
@@ -16,6 +16,7 @@
     "LlavaForConditionalGeneration", # pixtral
     "Mistral3ForConditionalGeneration", # mistral small 3.1
 )
+@ModelBase.example("mistral-community/pixtral-12b", "mistralai/Mistral-Small-3.1-24B-Instruct-2503")
 class LlavaVisionModel(MmprojModel):
     img_break_tok_id = -1
     use_break_tok = True
diff --git a/conversion/maincoder.py b/conversion/maincoder.py
index 18b625b08fb8..2e291b8a9618 100644
--- a/conversion/maincoder.py
+++ b/conversion/maincoder.py
@@ -4,6 +4,7 @@
 
 
 @ModelBase.register("MaincoderForCausalLM")
+@ModelBase.example("Maincode/Maincoder-1B")
 class MaincoderModel(TextModel):
     model_arch = gguf.MODEL_ARCH.MAINCODER
 
diff --git a/conversion/mamba.py b/conversion/mamba.py
index 43d559ffb0ae..8a2a4637529a 100644
--- a/conversion/mamba.py
+++ b/conversion/mamba.py
@@ -14,6 +14,7 @@
 
 
 @ModelBase.register("MambaForCausalLM", "MambaLMHeadModel", "FalconMambaForCausalLM")
+@ModelBase.example("state-spaces/mamba-130m-hf", "tiiuae/falcon-mamba-7b")
 class MambaModel(TextModel):
     model_arch = gguf.MODEL_ARCH.MAMBA
 
@@ -100,6 +101,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Mamba2ForCausalLM")
+@ModelBase.example("mistralai/Mamba-Codestral-7B-v0.1")
 class Mamba2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.MAMBA2
 
diff --git a/conversion/mellum.py b/conversion/mellum.py
index 79bc6755ccca..1e50f92aeafd 100644
--- a/conversion/mellum.py
+++ b/conversion/mellum.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("MellumForCausalLM")
+@ModelBase.example("JetBrains/Mellum2-12B-A2.5B-Base")
 class MellumModel(TextModel):
     model_arch = gguf.MODEL_ARCH.MELLUM
 
diff --git a/conversion/mimo.py b/conversion/mimo.py
index ca2ed28ad391..15dbeb7e754f 100644
--- a/conversion/mimo.py
+++ b/conversion/mimo.py
@@ -14,6 +14,7 @@
 
 
 @ModelBase.register("MiMoV2FlashForCausalLM", "MiMoV2ForCausalLM")
+@ModelBase.example("XiaomiMiMo/MiMo-V2.5")
 class MimoV2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.MIMO2
 
@@ -230,6 +231,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("MiMoV2ForCausalLM")
+@ModelBase.example("XiaomiMiMo/MiMo-V2.5")
 class MiMoV2VisionAudioModel(MmprojModel):
     has_audio_encoder = True
 
diff --git a/conversion/minicpm.py b/conversion/minicpm.py
index bf3fa81421bd..678d7bec187a 100644
--- a/conversion/minicpm.py
+++ b/conversion/minicpm.py
@@ -14,6 +14,7 @@
 
 
 @ModelBase.register("MiniCPMForCausalLM")
+@ModelBase.example("openbmb/MiniCPM-2B-sft-bf16")
 class MiniCPMModel(TextModel):
     model_arch = gguf.MODEL_ARCH.MINICPM
 
@@ -61,6 +62,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("MiniCPM3ForCausalLM")
+@ModelBase.example("openbmb/MiniCPM3-4B")
 class MiniCPM3Model(TextModel):
     model_arch = gguf.MODEL_ARCH.MINICPM3
 
@@ -117,6 +119,7 @@ def _reverse_hf_permute(self, weights: Tensor, n_head: int, n_kv_head: int | Non
 # the LM (text mode) and once as the mmproj (vision mode), mirroring the Qwen3-VL setup.
 
 @ModelBase.register("MiniCPMV4_6ForConditionalGeneration")
+@ModelBase.example("openbmb/MiniCPM-V-4_6")
 class MiniCPMV4_6TextModel(Qwen3_5TextModel):
     model_arch = gguf.MODEL_ARCH.QWEN35
 
@@ -134,6 +137,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("MiniCPMV4_6ForConditionalGeneration")
+@ModelBase.example("openbmb/MiniCPM-V-4_6")
 class MiniCPMV4_6VisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
diff --git a/conversion/minimax.py b/conversion/minimax.py
index d7a00bac9500..53a9ff60f836 100644
--- a/conversion/minimax.py
+++ b/conversion/minimax.py
@@ -12,6 +12,7 @@
 
 @ModelBase.register("MiniMaxText01ForCausalLM")
 @ModelBase.register("MiniMaxM1ForCausalLM")
+@ModelBase.example("MiniMaxAI/MiniMax-Text-01", "MiniMaxAI/MiniMax-M1-40k")
 class MiniMaxText01Model(TextModel):
     model_arch = gguf.MODEL_ARCH.MINIMAX01
 
@@ -119,6 +120,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("MiniMaxM2ForCausalLM")
+@ModelBase.example("MiniMaxAI/MiniMax-M2")
 class MiniMaxM2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.MINIMAXM2
     _experts_cache: dict[int, dict[str, Tensor]] = {}
@@ -163,6 +165,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
 
 
 @ModelBase.register("MiniMaxM3SparseForCausalLM", "MiniMaxM3SparseForConditionalGeneration")
+@ModelBase.example("MiniMaxAI/MiniMax-M3")
 class MiniMaxM3Model(MiniMaxM2Model):
     model_arch = gguf.MODEL_ARCH.MINIMAXM3
 
@@ -203,6 +206,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None):
 
 
 @ModelBase.register("MiniMaxM3SparseForConditionalGeneration", "MiniMaxM3VLForConditionalGeneration")
+@ModelBase.example("MiniMaxAI/MiniMax-M3")
 class MiniMaxM3VisionModel(MmprojModel):
     @classmethod
     def filter_tensors(cls, item):
diff --git a/conversion/mistral3.py b/conversion/mistral3.py
index af9438ae7058..fee039b353c4 100644
--- a/conversion/mistral3.py
+++ b/conversion/mistral3.py
@@ -15,6 +15,7 @@
     "Mistral3ForConditionalGeneration",
     "Ministral3ForCausalLM",
 )
+@ModelBase.example("mistralai/Mistral-Small-3.1-24B-Instruct-2503", "hf-tiny-v2/tiny-random-Ministral3ForCausalLM")
 class Mistral3Model(TextModel):
     class Ministral3Model(LlamaModel):
         model_arch = gguf.MODEL_ARCH.MISTRAL3
diff --git a/conversion/mpt.py b/conversion/mpt.py
index 9557ab7fa642..d5d849ff35a6 100644
--- a/conversion/mpt.py
+++ b/conversion/mpt.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("MPTForCausalLM")
+@ModelBase.example("anas-awadalla/mpt-7b")
 class MPTModel(TextModel):
     model_arch = gguf.MODEL_ARCH.MPT
 
diff --git a/conversion/muse_glimmer.py b/conversion/muse_glimmer.py
index cc588e8321bd..b205f70a0ebe 100644
--- a/conversion/muse_glimmer.py
+++ b/conversion/muse_glimmer.py
@@ -24,6 +24,7 @@ def _unpermute_for_rope(tensor: "Tensor", n_heads: int) -> "Tensor":
 
 
 @ModelBase.register("MuseGlimmerForConditionalGeneration")
+@ModelBase.example("meta-models/Muse-Glimmer-30B")
 class MuseGlimmerModel(TextModel):
     model_arch = gguf.MODEL_ARCH.MUSE_GLIMMER
 
@@ -78,6 +79,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("MuseGlimmerForConditionalGeneration")
+@ModelBase.example("meta-models/Muse-Glimmer-30B")
 class MuseGlimmerVisionModel(MmprojModel):
     def get_vision_config(self) -> dict[str, Any] | None:
         c = self.global_config.get("vision_config")
@@ -131,6 +133,7 @@ def modify_tensors(self, data_torch, name, bid):
 
 
 @ModelBase.register("MuseGlimmerAssistantModel")
+@ModelBase.example("meta-models/Muse-Glimmer-30B-assistant")
 class MuseGlimmerAssistantModel(TextModel):
     model_arch = gguf.MODEL_ARCH.DFLASH
 
diff --git a/conversion/nanbeige.py b/conversion/nanbeige.py
index f1fc425b3a09..a5b269a7a2a7 100644
--- a/conversion/nanbeige.py
+++ b/conversion/nanbeige.py
@@ -5,6 +5,7 @@
 
 
 @ModelBase.register("NanbeigeForCausalLM")
+@ModelBase.example("Nanbeige/Nanbeige4.2-3B")
 class NanbeigeModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.NANBEIGE
     undo_permute = True
diff --git a/conversion/nemotron.py b/conversion/nemotron.py
index c46cec143866..3e37c7b469f5 100644
--- a/conversion/nemotron.py
+++ b/conversion/nemotron.py
@@ -16,6 +16,7 @@
     "NemotronH_Nano_VL_V2",
     "RADIOModel",
 )
+@ModelBase.example("nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16")
 class NemotronNanoV2VLModel(MmprojModel):
     # ViT-Huge architecture parameters for RADIO v2.5-h
     _vit_hidden_size = 1280
@@ -151,6 +152,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("NemotronForCausalLM")
+@ModelBase.example("nvidia/Minitron-4B-Base")
 class NemotronModel(TextModel):
     model_arch = gguf.MODEL_ARCH.NEMOTRON
 
@@ -193,6 +195,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("NemotronHForCausalLM")
+@ModelBase.example("nvidia/Nemotron-H-8B-Base-8K")
 class NemotronHModel(GraniteHybridModel):
     """Hybrid mamba2/attention model from NVIDIA"""
     model_arch = gguf.MODEL_ARCH.NEMOTRON_H
diff --git a/conversion/olmo.py b/conversion/olmo.py
index 1664c30e402e..e6faa1975864 100644
--- a/conversion/olmo.py
+++ b/conversion/olmo.py
@@ -14,6 +14,7 @@
 
 @ModelBase.register("OlmoForCausalLM")
 @ModelBase.register("OLMoForCausalLM")
+@ModelBase.example("allenai/OLMo-1.7-7B-hf")
 class OlmoModel(TextModel):
     model_arch = gguf.MODEL_ARCH.OLMO
 
@@ -39,12 +40,14 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("SeedOssForCausalLM")
+@ModelBase.example("ByteDance-Seed/Seed-OSS-36B-Instruct")
 class SeedOssModel(TextModel):
     model_arch = gguf.MODEL_ARCH.SEED_OSS
 
 
 @ModelBase.register("Olmo2ForCausalLM")
 @ModelBase.register("Olmo3ForCausalLM")
+@ModelBase.example("allenai/OLMo-2-1124-7B-Instruct", "allenai/Olmo-3-7B-Instruct")
 class Olmo2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.OLMO2
 
@@ -67,6 +70,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("OlmoeForCausalLM")
+@ModelBase.example("allenai/OLMoE-1B-7B-0924")
 class OlmoeModel(TextModel):
     model_arch = gguf.MODEL_ARCH.OLMOE
 
diff --git a/conversion/openelm.py b/conversion/openelm.py
index ecc746dc348a..8863378bbfaa 100644
--- a/conversion/openelm.py
+++ b/conversion/openelm.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("OpenELMForCausalLM")
+@ModelBase.example("apple/OpenELM-270M")
 class OpenELMModel(TextModel):
     model_arch = gguf.MODEL_ARCH.OPENELM
 
diff --git a/conversion/orion.py b/conversion/orion.py
index 8dfceeed1f7d..3e4c633c1869 100644
--- a/conversion/orion.py
+++ b/conversion/orion.py
@@ -4,6 +4,7 @@
 
 
 @ModelBase.register("OrionForCausalLM")
+@ModelBase.example("OrionStarAI/Orion-14B-Base")
 class OrionModel(TextModel):
     model_arch = gguf.MODEL_ARCH.ORION
 
diff --git a/conversion/pangu.py b/conversion/pangu.py
index 42016ba0286f..74c76532b5a6 100644
--- a/conversion/pangu.py
+++ b/conversion/pangu.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("PanguEmbeddedForCausalLM")
+@ModelBase.example("FreedomIntelligence/openPangu-Embedded-7B-V1.1")
 class PanguEmbeddedModel(TextModel):
     model_arch = gguf.MODEL_ARCH.PANGU_EMBED
 
diff --git a/conversion/phi.py b/conversion/phi.py
index df4bfe809af7..7d2532067bb0 100644
--- a/conversion/phi.py
+++ b/conversion/phi.py
@@ -14,6 +14,7 @@
 
 
 @ModelBase.register("PhiForCausalLM")
+@ModelBase.example("microsoft/phi-2")
 class Phi2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.PHI2
 
@@ -36,6 +37,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Phi3ForCausalLM", "Phi4ForCausalLMV")
+@ModelBase.example("microsoft/Phi-3-mini-4k-instruct")
 class Phi3MiniModel(TextModel):
     model_arch = gguf.MODEL_ARCH.PHI3
 
@@ -210,6 +212,7 @@ def generate_extra_tensors(self) -> Iterable[tuple[str, Tensor]]:
 
 
 @ModelBase.register("Phi4ForCausalLMV")
+# [TAG_HF_EXAMPLE_MISSING]
 class Phi4VisionMmprojModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -336,6 +339,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("PhiMoEForCausalLM")
+@ModelBase.example("microsoft/Phi-3.5-MoE-instruct")
 class PhiMoeModel(Phi3MiniModel):
     model_arch = gguf.MODEL_ARCH.PHIMOE
 
diff --git a/conversion/plamo.py b/conversion/plamo.py
index c4bcbdf06bcb..31c6455aaff6 100644
--- a/conversion/plamo.py
+++ b/conversion/plamo.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("PlamoForCausalLM")
+@ModelBase.example("pfnet/plamo-13b")
 class PlamoModel(TextModel):
     model_arch = gguf.MODEL_ARCH.PLAMO
 
@@ -58,6 +59,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Plamo2ForCausalLM", "PLaMo2ForCausalLM")
+@ModelBase.example("pfnet/plamo-2-1b")
 class Plamo2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.PLAMO2
 
@@ -147,6 +149,8 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Plamo3ForCausalLM", "PLaMo3ForCausalLM")
+# [TAG_HF_EXAMPLE_GATED] pfnet/plamo-3-nict-2b-base is gated
+@ModelBase.example("midorin-Linux/plamo-3-12b-self-merged-base")
 class Plamo3Model(TextModel):
     model_arch = gguf.MODEL_ARCH.PLAMO3
 
diff --git a/conversion/plm.py b/conversion/plm.py
index 3fde487085bb..bca0147e6300 100644
--- a/conversion/plm.py
+++ b/conversion/plm.py
@@ -4,6 +4,7 @@
 
 
 @ModelBase.register("PLMForCausalLM")
+@ModelBase.example("PLM-Team/PLM-1.8B-Instruct")
 class PLMModel(TextModel):
     model_arch = gguf.MODEL_ARCH.PLM
 
diff --git a/conversion/pockettts.py b/conversion/pockettts.py
index 62ecb5acde74..1c99e58cfc77 100644
--- a/conversion/pockettts.py
+++ b/conversion/pockettts.py
@@ -77,6 +77,7 @@ def _load_hparams(dir_model: Path) -> dict[str, Any]:
 
 
 @ModelBase.register("PocketTTSModel")
+# [TAG_HF_EXAMPLE_MISSING] model is gated, and the checkpoint requires cd to subdir, not supported here
 class PocketTTSModel(TextModel):
     model_arch = gguf.MODEL_ARCH.POCKETTTS
 
@@ -174,6 +175,7 @@ def _embd_table(self, embed: Tensor) -> Tensor:
 
 
 @ModelBase.register("PocketTTSModel")
+# [TAG_HF_EXAMPLE_MISSING] model is gated, and the checkpoint requires cd to subdir, not supported here
 class PocketTTSMmprojModel(MmprojModel):
     has_audio_encoder = True
     has_vision_encoder = False
diff --git a/conversion/qwen.py b/conversion/qwen.py
index ead435455dd6..7a1c11317b35 100644
--- a/conversion/qwen.py
+++ b/conversion/qwen.py
@@ -13,6 +13,7 @@
 
 
 @ModelBase.register("QWenLMHeadModel")
+@ModelBase.example("Qwen/Qwen-7B")
 class QwenModel(TextModel):
     model_arch = gguf.MODEL_ARCH.QWEN
 
@@ -51,6 +52,7 @@ def set_vocab(self):
     "AudioFlamingo3ForConditionalGeneration",
     "DotsOCRForCausalLM",
 )
+@ModelBase.example("Qwen/Qwen2.5-7B-Instruct")
 class Qwen2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.QWEN2
 
@@ -71,6 +73,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen2MoeForCausalLM")
+@ModelBase.example("Qwen/Qwen1.5-MoE-A2.7B")
 class Qwen2MoeModel(TextModel):
     model_arch = gguf.MODEL_ARCH.QWEN2MOE
 
@@ -153,6 +156,7 @@ def prepare_tensors(self):
 
 
 @ModelBase.register("Qwen3ForCausalLM", "Qwen3Model")
+@ModelBase.example("Qwen/Qwen3-8B")
 class Qwen3Model(Qwen2Model):
     model_arch = gguf.MODEL_ARCH.QWEN3
 
@@ -251,6 +255,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen3MoeForCausalLM")
+@ModelBase.example("Qwen/Qwen3-30B-A3B")
 class Qwen3MoeModel(Qwen2MoeModel):
     model_arch = gguf.MODEL_ARCH.QWEN3MOE
 
@@ -362,6 +367,7 @@ def prepare_metadata(self, vocab_only: bool):
 
 
 @ModelBase.register("Qwen3NextForCausalLM")
+@ModelBase.example("Qwen/Qwen3-Next-80B-A3B-Instruct")
 class Qwen3NextModel(_QwenMtpMixin, Qwen2MoeModel):
     model_arch = gguf.MODEL_ARCH.QWEN3NEXT
 
@@ -421,6 +427,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("RND1")
+@ModelBase.example("radicalnumerics/RND1-Base-0910")
 class RND1Model(Qwen2MoeModel):
     model_arch = gguf.MODEL_ARCH.RND1
 
@@ -620,16 +627,19 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Qwen3_5ForConditionalGeneration", "Qwen3_5ForCausalLM")
+@ModelBase.example("Qwen/Qwen3.5-9B")
 class Qwen3_5TextModel(_Qwen35MRopeMixin, _LinearAttentionVReorderBase):
     model_arch = gguf.MODEL_ARCH.QWEN35
 
 
 @ModelBase.register("Qwen3_5MoeForConditionalGeneration", "Qwen3_5MoeForCausalLM")
+@ModelBase.example("Qwen/Qwen3.5-35B-A3B")
 class Qwen3_5MoeTextModel(_Qwen35MRopeMixin, _LinearAttentionVReorderBase):
     model_arch = gguf.MODEL_ARCH.QWEN35MOE
 
 
 @ModelBase.register("DFlashDraftModel")
+@ModelBase.example("z-lab/Qwen3.5-9B-DFlash")
 class DFlashModel(Qwen3Model):
     model_arch = gguf.MODEL_ARCH.DFLASH
 
@@ -699,6 +709,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen3DSparkModel")
+@ModelBase.example("satgeze/Qwen3.6-27B-DSpark")
 class DSparkModel(DFlashModel):
     # DSpark = DFlash + a semi-autoregressive Markov head
     model_arch = gguf.MODEL_ARCH.DFLASH
diff --git a/conversion/qwen3tts.py b/conversion/qwen3tts.py
index d21a5059517a..1f6b9a1b0efb 100644
--- a/conversion/qwen3tts.py
+++ b/conversion/qwen3tts.py
@@ -37,6 +37,7 @@
 
 
 @ModelBase.register("Qwen3TTSForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-TTS-12Hz-1.7B-Base")
 class Qwen3TTSTalkerModel(TextModel):
     model_arch = gguf.MODEL_ARCH.QWEN3TTS
 
@@ -185,6 +186,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen3TTSForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-TTS-12Hz-1.7B-Base")
 class Qwen3TTSSpeakerEncoderModel(MmprojModel):
     has_vision_encoder = False
     has_audio_encoder = True
diff --git a/conversion/qwen3vl.py b/conversion/qwen3vl.py
index 9f11757697f5..4fec708c9ff3 100644
--- a/conversion/qwen3vl.py
+++ b/conversion/qwen3vl.py
@@ -14,6 +14,7 @@
 
 
 @ModelBase.register("Qwen3VLForConditionalGeneration", "Qwen3VLMoeForConditionalGeneration", "Qwen3_5ForConditionalGeneration", "Qwen3_5MoeForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-VL-4B-Instruct", "Qwen/Qwen3-VL-30B-A3B-Instruct", "Qwen/Qwen3.5-9B", "Qwen/Qwen3.5-35B-A3B")
 class Qwen3VLVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -144,6 +145,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen3OmniMoeForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-Omni-30B-A3B-Instruct")
 class Qwen3OmniMmprojModel(Qwen3VLVisionModel, Qwen25AudioModel):
     has_audio_encoder = True
     has_vision_encoder = True
@@ -217,12 +219,14 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen3ASRForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-ASR-0.6B-hf")
 class Qwen3ASRMmprojModel(Qwen3OmniMmprojModel):
     has_audio_encoder = True
     has_vision_encoder = False
 
 
 @ModelBase.register("Glm4vForConditionalGeneration", "Glm4vMoeForConditionalGeneration", "GlmOcrForConditionalGeneration")
+@ModelBase.example("zai-org/GLM-4.1V-9B-Thinking", "zai-org/GLM-4.5V")
 class Glm4VVisionModel(Qwen3VLVisionModel):
     def set_gguf_parameters(self):
         MmprojModel.set_gguf_parameters(self) # skip Qwen3VLVisionModel parameters
@@ -246,6 +250,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen3VLForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-VL-4B-Instruct")
 class Qwen3VLTextModel(Qwen3Model):
     model_arch = gguf.MODEL_ARCH.QWEN3VL
 
@@ -268,6 +273,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("Qwen3VLMoeForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-VL-30B-A3B-Instruct")
 class Qwen3VLMoeTextModel(Qwen3MoeModel):
     model_arch = gguf.MODEL_ARCH.QWEN3VLMOE
 
@@ -317,6 +323,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen3OmniMoeForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-Omni-30B-A3B-Instruct")
 class Qwen3OmniMoeTextModel(Qwen3VLMoeTextModel):
     model_arch = gguf.MODEL_ARCH.QWEN3VLMOE
 
@@ -338,6 +345,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Qwen3ASRForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen3-ASR-0.6B-hf")
 class Qwen3ASRTextModel(Qwen3VLTextModel):
     model_arch = gguf.MODEL_ARCH.QWEN3VL
 
diff --git a/conversion/qwenvl.py b/conversion/qwenvl.py
index 202a47961b3c..579a86a99f57 100644
--- a/conversion/qwenvl.py
+++ b/conversion/qwenvl.py
@@ -17,6 +17,7 @@
     "Qwen2_5_VLForConditionalGeneration",
     "Qwen2_5OmniModel",
 )
+@ModelBase.example("Qwen/Qwen2-VL-2B-Instruct", "Qwen/Qwen2.5-VL-3B-Instruct")
 class Qwen2VLModel(TextModel):
     model_arch = gguf.MODEL_ARCH.QWEN2VL
 
@@ -40,6 +41,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("Qwen2VLModel", "Qwen2VLForConditionalGeneration", "Qwen2_5_VLForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen2-VL-2B-Instruct", "Qwen/Qwen2.5-VL-3B-Instruct")
 class Qwen2VLVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -161,6 +163,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen2_5OmniModel")
+@ModelBase.example("Qwen/Qwen2.5-Omni-3B")
 class Qwen25OmniModel(Qwen2VLVisionModel, Qwen25AudioModel):
     has_audio_encoder = True
     has_vision_encoder = True
diff --git a/conversion/refact.py b/conversion/refact.py
index 1170cddeb2cc..d6361512f716 100644
--- a/conversion/refact.py
+++ b/conversion/refact.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("GPTRefactForCausalLM")
+@ModelBase.example("smallcloudai/Refact-1_6-base")
 class RefactModel(TextModel):
     model_arch = gguf.MODEL_ARCH.REFACT
 
diff --git a/conversion/rwkv.py b/conversion/rwkv.py
index 2de0aa5346e9..e6fa84264efd 100644
--- a/conversion/rwkv.py
+++ b/conversion/rwkv.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("Rwkv6ForCausalLM")
+@ModelBase.example("RWKV/v6-Finch-1B6-HF")
 class Rwkv6Model(TextModel):
     model_arch = gguf.MODEL_ARCH.RWKV6
 
@@ -83,6 +84,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("RWKV6Qwen2ForCausalLM")
+@ModelBase.example("recursal/QRWKV6-32B-Instruct-Preview-v0.1")
 class RWKV6Qwen2Model(Rwkv6Model):
     model_arch = gguf.MODEL_ARCH.RWKV6QWEN2
 
@@ -136,6 +138,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Rwkv7ForCausalLM", "RWKV7ForCausalLM")
+@ModelBase.example("fla-hub/rwkv7-1.5B-world")
 class Rwkv7Model(TextModel):
     model_arch = gguf.MODEL_ARCH.RWKV7
 
@@ -261,6 +264,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("RwkvHybridForCausalLM")
+@ModelBase.example("RWKV-Red-Team/ARWKV-7B-Preview-0.1")
 class ARwkv7Model(Rwkv7Model):
     model_arch = gguf.MODEL_ARCH.ARWKV7
 
diff --git a/conversion/sarashina2.py b/conversion/sarashina2.py
index 05448db812e4..fdb3e78da66a 100644
--- a/conversion/sarashina2.py
+++ b/conversion/sarashina2.py
@@ -12,6 +12,7 @@
 
 
 @ModelBase.register("Sarashina2VisionForCausalLM")
+@ModelBase.example("sbintuitions/sarashina2.2-vision-3b")
 class Sarashina2VLTextModel(LlamaModel):
     model_arch = gguf.MODEL_ARCH.LLAMA
 
@@ -26,6 +27,7 @@ def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Ca
 
 
 @ModelBase.register("Sarashina2VisionForCausalLM")
+@ModelBase.example("sbintuitions/sarashina2.2-vision-3b")
 class Sarashina2VLVisionModel(Qwen2VLVisionModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
diff --git a/conversion/smallthinker.py b/conversion/smallthinker.py
index 1b0f79aa3ea7..73d07b51a341 100644
--- a/conversion/smallthinker.py
+++ b/conversion/smallthinker.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("SmallThinkerForCausalLM")
+@ModelBase.example("PowerInfer/SmallThinker-4BA0.6B-Instruct")
 class SmallThinkerModel(TextModel):
     model_arch = gguf.MODEL_ARCH.SMALLTHINKER
 
diff --git a/conversion/smolvlm.py b/conversion/smolvlm.py
index 30e9dca329b5..0cccb8f6f97b 100644
--- a/conversion/smolvlm.py
+++ b/conversion/smolvlm.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("Idefics3ForConditionalGeneration", "SmolVLMForConditionalGeneration")
+@ModelBase.example("HuggingFaceTB/SmolVLM-Instruct", "HuggingFaceM4/Idefics3-8B-Llama3")
 class SmolVLMModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
diff --git a/conversion/stablelm.py b/conversion/stablelm.py
index 6e16378a031f..ac3a1ca9e1f1 100644
--- a/conversion/stablelm.py
+++ b/conversion/stablelm.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("StableLmForCausalLM", "StableLMEpochForCausalLM", "LlavaStableLMEpochForCausalLM")
+@ModelBase.example("stabilityai/stablelm-2-1_6b")
 class StableLMModel(TextModel):
     model_arch = gguf.MODEL_ARCH.STABLELM
 
diff --git a/conversion/starcoder.py b/conversion/starcoder.py
index 0b4ffd84702a..4a726ac36ad9 100644
--- a/conversion/starcoder.py
+++ b/conversion/starcoder.py
@@ -4,6 +4,7 @@
 
 
 @ModelBase.register("GPTBigCodeForCausalLM")
+@ModelBase.example("bigcode/gpt_bigcode-santacoder")
 class StarCoderModel(TextModel):
     model_arch = gguf.MODEL_ARCH.STARCODER
 
@@ -19,5 +20,6 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("Starcoder2ForCausalLM")
+@ModelBase.example("bigcode/starcoder2-3b")
 class StarCoder2Model(TextModel):
     model_arch = gguf.MODEL_ARCH.STARCODER2
diff --git a/conversion/step3.py b/conversion/step3.py
index f7cdc997e528..93eb3134e09e 100644
--- a/conversion/step3.py
+++ b/conversion/step3.py
@@ -16,6 +16,7 @@
 
 
 @ModelBase.register("StepVLForConditionalGeneration", "Step3p7ForConditionalGeneration")
+@ModelBase.example("stepfun-ai/Step3-VL-10B", "stepfun-ai/Step-3.7-Flash")
 class Step3VLVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -91,11 +92,13 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("StepVLForConditionalGeneration")
+@ModelBase.example("stepfun-ai/Step3-VL-10B")
 class Step3VLTextModel(Qwen3Model):
     model_arch = gguf.MODEL_ARCH.QWEN3
 
 
 @ModelBase.register("Step3p5ForCausalLM", "Step3p7ForConditionalGeneration")
+@ModelBase.example("stepfun-ai/Step-3.7-Flash")
 class Step35Model(TextModel):
     model_arch = gguf.MODEL_ARCH.STEP35
     supports_mtp_export = True
diff --git a/conversion/t5.py b/conversion/t5.py
index 73dcfd1a2ced..3466ce49da63 100644
--- a/conversion/t5.py
+++ b/conversion/t5.py
@@ -16,6 +16,7 @@
 @ModelBase.register("MT5ForConditionalGeneration")
 @ModelBase.register("UMT5ForConditionalGeneration")
 @ModelBase.register("UMT5Model")
+@ModelBase.example("google-t5/t5-small", "google/flan-t5-small", "google/umt5-small")
 class T5Model(TextModel):
     model_arch = gguf.MODEL_ARCH.T5
 
@@ -153,6 +154,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("T5EncoderModel")
+@ModelBase.example("sentence-transformers/sentence-t5-base")
 class T5EncoderModel(TextModel):
     model_arch = gguf.MODEL_ARCH.T5ENCODER
 
diff --git a/conversion/talkie.py b/conversion/talkie.py
index a970b32d3bf9..31445243de8b 100644
--- a/conversion/talkie.py
+++ b/conversion/talkie.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("TalkieForCausalLM")
+@ModelBase.example("lewtun/talkie-1930-13b-it-hf")
 class TalkieModel(TextModel):
     model_arch = gguf.MODEL_ARCH.TALKIE
 
diff --git a/conversion/ultravox.py b/conversion/ultravox.py
index 347188733a51..62819e574d57 100644
--- a/conversion/ultravox.py
+++ b/conversion/ultravox.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("UltravoxModel")
+@ModelBase.example("fixie-ai/ultravox-v0_5-llama-3_2-1b")
 class UltravoxModel(TextModel):
     model_arch = gguf.MODEL_ARCH.LLAMA # dummy
 
@@ -18,6 +19,7 @@ def __init__(self, *args, **kwargs):
 
 
 @ModelBase.register("GlmasrModel")
+@ModelBase.example("zai-org/GLM-ASR-Nano-2512")
 class GlmASRWhisperEncoderModel(MmprojModel):
     has_vision_encoder = False
     has_audio_encoder = True
@@ -82,6 +84,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("Qwen2AudioForConditionalGeneration")
+@ModelBase.example("Qwen/Qwen2-Audio-7B-Instruct")
 class WhisperEncoderModel(MmprojModel):
     has_vision_encoder = False # no vision encoder
     has_audio_encoder = True
@@ -123,6 +126,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("UltravoxModel")
+@ModelBase.example("fixie-ai/ultravox-v0_5-llama-3_2-1b")
 class UltravoxWhisperEncoderModel(WhisperEncoderModel):
     has_vision_encoder = False # no vision encoder
     has_audio_encoder = True
@@ -134,6 +138,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("MERaLiON2ForConditionalGeneration")
+@ModelBase.example("MERaLiON/MERaLiON-2-3B")
 class MERaLiONWhisperEncoderModel(WhisperEncoderModel):
     has_vision_encoder = False
     has_audio_encoder = True
@@ -180,6 +185,7 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
 
 
 @ModelBase.register("VoxtralForConditionalGeneration")
+@ModelBase.example("mistralai/Voxtral-Mini-3B-2507")
 class VoxtralWhisperEncoderModel(WhisperEncoderModel):
     has_vision_encoder = False # no vision encoder
     has_audio_encoder = True
@@ -191,6 +197,7 @@ def set_gguf_parameters(self):
 
 
 @ModelBase.register("AudioFlamingo3ForConditionalGeneration")
+@ModelBase.example("nvidia/audio-flamingo-3-hf")
 class AudioFlamingo3WhisperEncoderModel(WhisperEncoderModel):
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
diff --git a/conversion/wavtokenizer.py b/conversion/wavtokenizer.py
index 7d25447be88a..c9a4b505da93 100644
--- a/conversion/wavtokenizer.py
+++ b/conversion/wavtokenizer.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("WavTokenizerDec")
+@ModelBase.example("novateur/WavTokenizer-large-speech-75token")
 class WavTokenizerDecModel(TextModel):
     model_arch = gguf.MODEL_ARCH.WAVTOKENIZER_DEC
 
diff --git a/conversion/xverse.py b/conversion/xverse.py
index fa8a31a133ff..aa3b338802e4 100644
--- a/conversion/xverse.py
+++ b/conversion/xverse.py
@@ -11,6 +11,7 @@
 
 
 @ModelBase.register("XverseForCausalLM")
+@ModelBase.example("xverse/XVERSE-7B")
 class XverseModel(TextModel):
     model_arch = gguf.MODEL_ARCH.XVERSE
 
diff --git a/conversion/youtuvl.py b/conversion/youtuvl.py
index cabc44445f37..e97261077215 100644
--- a/conversion/youtuvl.py
+++ b/conversion/youtuvl.py
@@ -9,6 +9,7 @@
 
 
 @ModelBase.register("YoutuVLForConditionalGeneration")
+@ModelBase.example("tencent/Youtu-VL-4B-Instruct")
 class YoutuVLVisionModel(MmprojModel):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
diff --git a/docs/development/HOWTO-add-model.md b/docs/development/HOWTO-add-model.md
index 270e6b735651..fcc87f16515b 100644
--- a/docs/development/HOWTO-add-model.md
+++ b/docs/development/HOWTO-add-model.md
@@ -29,6 +29,7 @@ The required steps to implement for an HF model are:
 
 ```python
 @ModelBase.register("MyModelForCausalLM")
+@ModelBase.example("user/model")
 class MyModel(TextModel):
     model_arch = gguf.MODEL_ARCH.MYMODEL
 ```
@@ -37,10 +38,13 @@ or
 
 ```python
 @ModelBase.register("MyModelForConditionalGeneration")
+@ModelBase.example("user/model")
 class MyModel(MmprojModel):
     model_arch = gguf.MODEL_ARCH.MYMODEL
 ```
 
+The `example` should point to a valid Hugging Face model that will be used for testing. You can add multiple models if necessary. Prefer a non-gated model, or tiny random weights if no such model exists.
+
 2. Define the layout of the GGUF tensors in [constants.py](/gguf-py/gguf/constants.py)
 
 Add an enum entry in `MODEL_ARCH`, the model human friendly name in `MODEL_ARCH_NAMES` and the GGUF tensor names in `MODEL_TENSORS`.