diff --git a/docs/inference-providers/providers/fal-ai.md b/docs/inference-providers/providers/fal-ai.md
index 9bcf30ec2..d02792a80 100644
--- a/docs/inference-providers/providers/fal-ai.md
+++ b/docs/inference-providers/providers/fal-ai.md
@@ -87,6 +87,6 @@ Find out more about Text To Video [here](../tasks/text-to-video).
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"fal-ai/wan/v2.2-5b/text-to-video"} } }
+    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"fal-ai/wan/v2.2-a14b/text-to-video"} } }
 />
 
diff --git a/docs/inference-providers/providers/fireworks-ai.md b/docs/inference-providers/providers/fireworks-ai.md
index 991afce58..3aa296547 100644
--- a/docs/inference-providers/providers/fireworks-ai.md
+++ b/docs/inference-providers/providers/fireworks-ai.md
@@ -46,7 +46,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"fireworks-ai":{"modelId":"zai-org/GLM-5.1","providerModelId":"accounts/fireworks/models/glm-5p1"} } }
+    providersMapping={ {"fireworks-ai":{"modelId":"MiniMaxAI/MiniMax-M2.7","providerModelId":"accounts/fireworks/models/minimax-m2p7"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
index 802dcb9e5..5267a3ada 100644
--- a/docs/inference-providers/providers/hf-inference.md
+++ b/docs/inference-providers/providers/hf-inference.md
@@ -200,6 +200,6 @@ Find out more about Zero Shot Classification [here](../tasks/zero-shot-classific
 
 <InferenceSnippet
     pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"} } }
+    providersMapping={ {"hf-inference":{"modelId":"MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7","providerModelId":"MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"} } }
 />
 
diff --git a/docs/inference-providers/providers/hyperbolic.md b/docs/inference-providers/providers/hyperbolic.md
index 713f8aa42..f561b7609 100644
--- a/docs/inference-providers/providers/hyperbolic.md
+++ b/docs/inference-providers/providers/hyperbolic.md
@@ -85,7 +85,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"hyperbolic":{"modelId":"meta-llama/Llama-3.3-70B-Instruct","providerModelId":"meta-llama/Llama-3.3-70B-Instruct"} } }
+    providersMapping={ {"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"deepseek-ai/DeepSeek-R1"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/publicai.md b/docs/inference-providers/providers/publicai.md
index 21a7627cb..6b59c3c51 100644
--- a/docs/inference-providers/providers/publicai.md
+++ b/docs/inference-providers/providers/publicai.md
@@ -49,6 +49,6 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"} } }
+    providersMapping={ {"publicai":{"modelId":"allenai/Olmo-3-7B-Instruct","providerModelId":"allenai/Olmo-3-7B-Instruct"} } }
 conversational />
 
diff --git a/docs/inference-providers/providers/replicate.md b/docs/inference-providers/providers/replicate.md
index d2e28bfb1..c12684eb0 100644
--- a/docs/inference-providers/providers/replicate.md
+++ b/docs/inference-providers/providers/replicate.md
@@ -77,6 +77,6 @@ Find out more about Text To Video [here](../tasks/text-to-video).
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"replicate":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wan-video/wan-2.2-5b-fast"} } }
+    providersMapping={ {"replicate":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"wan-video/wan-2.2-t2v-fast"} } }
 />
 
diff --git a/docs/inference-providers/providers/sambanova.md b/docs/inference-providers/providers/sambanova.md
index 825fba0fd..195fb3f5c 100644
--- a/docs/inference-providers/providers/sambanova.md
+++ b/docs/inference-providers/providers/sambanova.md
@@ -48,16 +48,6 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"sambanova":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"} } }
-conversational />
-
-
-### Chat Completion (VLM)
-
-Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
-
-<InferenceSnippet
-    pipeline=image-text-to-text
-    providersMapping={ {"sambanova":{"modelId":"meta-llama/Llama-4-Maverick-17B-128E-Instruct","providerModelId":"Llama-4-Maverick-17B-128E-Instruct"} } }
+    providersMapping={ {"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"} } }
 conversational />
 
diff --git a/docs/inference-providers/providers/together.md b/docs/inference-providers/providers/together.md
index c379a962e..4ca00e146 100644
--- a/docs/inference-providers/providers/together.md
+++ b/docs/inference-providers/providers/together.md
@@ -57,7 +57,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"together":{"modelId":"Qwen/Qwen3.5-9B","providerModelId":"Qwen/Qwen3.5-9B"} } }
+    providersMapping={ {"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/zai-org.md b/docs/inference-providers/providers/zai-org.md
index e7c3e3618..abf740ce9 100644
--- a/docs/inference-providers/providers/zai-org.md
+++ b/docs/inference-providers/providers/zai-org.md
@@ -56,7 +56,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-5.1","providerModelId":"glm-5.1"} } }
+    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-5","providerModelId":"glm-5"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
index c43628c66..b9553b3c1 100644
--- a/docs/inference-providers/tasks/chat-completion.md
+++ b/docs/inference-providers/tasks/chat-completion.md
@@ -63,7 +63,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama3.1-8b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"featherless-ai":{"modelId":"arcee-ai/Trinity-Large-Thinking","providerModelId":"arcee-ai/Trinity-Large-Thinking"},"fireworks-ai":{"modelId":"zai-org/GLM-5.1","providerModelId":"accounts/fireworks/models/glm-5p1"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"},"hyperbolic":{"modelId":"meta-llama/Llama-3.3-70B-Instruct","providerModelId":"meta-llama/Llama-3.3-70B-Instruct"},"novita":{"modelId":"MiniMaxAI/MiniMax-M2.7","providerModelId":"minimax/minimax-m2.7"},"nscale":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Llama-3.1-8B-Instruct"},"ovhcloud":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"},"sambanova":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"MiniMaxAI/MiniMax-M2.7","providerModelId":"MiniMaxAI/MiniMax-M2.7"},"zai-org":{"modelId":"zai-org/GLM-5.1","providerModelId":"glm-5.1"}} }
+    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama3.1-8b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"featherless-ai":{"modelId":"arcee-ai/Trinity-Large-Thinking","providerModelId":"arcee-ai/Trinity-Large-Thinking"},"fireworks-ai":{"modelId":"MiniMaxAI/MiniMax-M2.7","providerModelId":"accounts/fireworks/models/minimax-m2p7"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"},"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"deepseek-ai/DeepSeek-R1"},"novita":{"modelId":"MiniMaxAI/MiniMax-M2.7","providerModelId":"minimax/minimax-m2.7"},"nscale":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Llama-3.1-8B-Instruct"},"ovhcloud":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"publicai":{"modelId":"allenai/Olmo-3-7B-Instruct","providerModelId":"allenai/Olmo-3-7B-Instruct"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"MiniMaxAI/MiniMax-M2.7","providerModelId":"MiniMaxAI/MiniMax-M2.7"},"zai-org":{"modelId":"zai-org/GLM-5","providerModelId":"glm-5"}} }
 conversational />
 
 
@@ -73,7 +73,7 @@ conversational />
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"Qwen/Qwen3.5-27B","providerModelId":"Qwen/Qwen3.5-27B"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.5","providerModelId":"accounts/fireworks/models/kimi-k2p5"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen2.5-VL-72B-Instruct","providerModelId":"Qwen2.5-VL-72B-Instruct"},"sambanova":{"modelId":"meta-llama/Llama-4-Maverick-17B-128E-Instruct","providerModelId":"Llama-4-Maverick-17B-128E-Instruct"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"Qwen/Qwen3.5-9B","providerModelId":"Qwen/Qwen3.5-9B"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"Qwen/Qwen3.5-27B","providerModelId":"Qwen/Qwen3.5-27B"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.5","providerModelId":"accounts/fireworks/models/kimi-k2p5"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen2.5-VL-72B-Instruct","providerModelId":"Qwen2.5-VL-72B-Instruct"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/image-text-to-text.md b/docs/inference-providers/tasks/image-text-to-text.md
index 02969cb5b..394a765d9 100644
--- a/docs/inference-providers/tasks/image-text-to-text.md
+++ b/docs/inference-providers/tasks/image-text-to-text.md
@@ -31,7 +31,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"Qwen/Qwen3.5-27B","providerModelId":"Qwen/Qwen3.5-27B"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.5","providerModelId":"accounts/fireworks/models/kimi-k2p5"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen2.5-VL-72B-Instruct","providerModelId":"Qwen2.5-VL-72B-Instruct"},"sambanova":{"modelId":"meta-llama/Llama-4-Maverick-17B-128E-Instruct","providerModelId":"Llama-4-Maverick-17B-128E-Instruct"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"Qwen/Qwen3.5-9B","providerModelId":"Qwen/Qwen3.5-9B"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"Qwen/Qwen3.5-27B","providerModelId":"Qwen/Qwen3.5-27B"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.5","providerModelId":"accounts/fireworks/models/kimi-k2p5"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen2.5-VL-72B-Instruct","providerModelId":"Qwen2.5-VL-72B-Instruct"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/text-to-video.md b/docs/inference-providers/tasks/text-to-video.md
index d70e89aee..94b9627a9 100644
--- a/docs/inference-providers/tasks/text-to-video.md
+++ b/docs/inference-providers/tasks/text-to-video.md
@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"fal-ai/wan/v2.2-5b/text-to-video"},"replicate":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wan-video/wan-2.2-5b-fast"},"wavespeed":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wavespeed-ai/wan-2.2/t2v-5b-720p"}} }
+    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"fal-ai/wan/v2.2-a14b/text-to-video"},"replicate":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"wan-video/wan-2.2-t2v-fast"},"wavespeed":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wavespeed-ai/wan-2.2/t2v-5b-720p"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/zero-shot-classification.md b/docs/inference-providers/tasks/zero-shot-classification.md
index 80874e7ed..6e3db9cf6 100644
--- a/docs/inference-providers/tasks/zero-shot-classification.md
+++ b/docs/inference-providers/tasks/zero-shot-classification.md
@@ -22,7 +22,6 @@ Zero-shot text classification is super useful to try out classification with zer
 
 ### Recommended models
 
-- [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli): Powerful zero-shot text classification model.
 - [MoritzLaurer/ModernBERT-large-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/ModernBERT-large-zeroshot-v2.0): Cutting-edge zero-shot multilingual text classification model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=zero-shot-classification&sort=trending).
@@ -32,7 +31,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"}} }
+    providersMapping={ {"hf-inference":{"modelId":"MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7","providerModelId":"MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"}} }
 />