diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
index c1af8da11..2a5b8e6c5 100644
--- a/docs/inference-providers/providers/hf-inference.md
+++ b/docs/inference-providers/providers/hf-inference.md
@@ -70,7 +70,7 @@ Find out more about Feature Extraction [here](../tasks/feature-extraction).
 
 <InferenceSnippet
     pipeline=feature-extraction
-    providersMapping={ {"hf-inference":{"modelId":"microsoft/harrier-oss-v1-0.6b","providerModelId":"microsoft/harrier-oss-v1-0.6b"} } }
+    providersMapping={ {"hf-inference":{"modelId":"ibm-granite/granite-embedding-311m-multilingual-r2","providerModelId":"ibm-granite/granite-embedding-311m-multilingual-r2"} } }
 />
 
 
@@ -120,7 +120,7 @@ Find out more about Question Answering [here](../tasks/question-answering).
 
 <InferenceSnippet
     pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/minilm-uncased-squad2","providerModelId":"deepset/minilm-uncased-squad2"} } }
+    providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-base-squad2","providerModelId":"deepset/roberta-base-squad2"} } }
 />
 
 
@@ -180,7 +180,7 @@ Find out more about Token Classification [here](../tasks/token-classification).
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"OpenMed/OpenMed-PII-SuperClinical-Large-434M-v1","providerModelId":"OpenMed/OpenMed-PII-SuperClinical-Large-434M-v1"} } }
+    providersMapping={ {"hf-inference":{"modelId":"Babelscape/wikineural-multilingual-ner","providerModelId":"Babelscape/wikineural-multilingual-ner"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/hyperbolic.md b/docs/inference-providers/providers/hyperbolic.md
index dcd73c418..713f8aa42 100644
--- a/docs/inference-providers/providers/hyperbolic.md
+++ b/docs/inference-providers/providers/hyperbolic.md
@@ -89,3 +89,13 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 conversational />
 
 
+### Chat Completion (VLM)
+
+Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=image-text-to-text
+    providersMapping={ {"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"} } }
+conversational />
+
+
diff --git a/docs/inference-providers/providers/together.md b/docs/inference-providers/providers/together.md
index 4e76bdb21..105caee5a 100644
--- a/docs/inference-providers/providers/together.md
+++ b/docs/inference-providers/providers/together.md
@@ -67,7 +67,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"together":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"} } }
+    providersMapping={ {"together":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/Kimi-K2.7-Code"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
index c4c128fef..8499098b6 100644
--- a/docs/inference-providers/tasks/chat-completion.md
+++ b/docs/inference-providers/tasks/chat-completion.md
@@ -74,7 +74,7 @@ conversational />
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/Kimi-K2.7-Code"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"accounts/fireworks/models/kimi-k2p7-code"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/kimi-k2.7-code"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen3.6-27B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/Kimi-K2.7-Code"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"accounts/fireworks/models/kimi-k2p7-code"},"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":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/kimi-k2.7-code"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen3.6-27B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/Kimi-K2.7-Code"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/feature-extraction.md b/docs/inference-providers/tasks/feature-extraction.md
index 2beef7e4b..121694fd7 100644
--- a/docs/inference-providers/tasks/feature-extraction.md
+++ b/docs/inference-providers/tasks/feature-extraction.md
@@ -36,7 +36,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=feature-extraction
-    providersMapping={ {"hf-inference":{"modelId":"microsoft/harrier-oss-v1-0.6b","providerModelId":"microsoft/harrier-oss-v1-0.6b"},"scaleway":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"qwen3-embedding-8b"},"together":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"}} }
+    providersMapping={ {"hf-inference":{"modelId":"ibm-granite/granite-embedding-311m-multilingual-r2","providerModelId":"ibm-granite/granite-embedding-311m-multilingual-r2"},"scaleway":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"qwen3-embedding-8b"},"together":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-text-to-text.md b/docs/inference-providers/tasks/image-text-to-text.md
index 121d22728..e604fa43c 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/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/Kimi-K2.7-Code"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"accounts/fireworks/models/kimi-k2p7-code"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/kimi-k2.7-code"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen3.6-27B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/Kimi-K2.7-Code"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"accounts/fireworks/models/kimi-k2p7-code"},"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":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/kimi-k2.7-code"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen3.6-27B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/Kimi-K2.7-Code"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/question-answering.md b/docs/inference-providers/tasks/question-answering.md
index e8b9cd2b1..785100124 100644
--- a/docs/inference-providers/tasks/question-answering.md
+++ b/docs/inference-providers/tasks/question-answering.md
@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/minilm-uncased-squad2","providerModelId":"deepset/minilm-uncased-squad2"}} }
+    providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-base-squad2","providerModelId":"deepset/roberta-base-squad2"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/token-classification.md b/docs/inference-providers/tasks/token-classification.md
index 3df97d179..d2eb22129 100644
--- a/docs/inference-providers/tasks/token-classification.md
+++ b/docs/inference-providers/tasks/token-classification.md
@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"OpenMed/OpenMed-PII-SuperClinical-Large-434M-v1","providerModelId":"OpenMed/OpenMed-PII-SuperClinical-Large-434M-v1"}} }
+    providersMapping={ {"hf-inference":{"modelId":"Babelscape/wikineural-multilingual-ner","providerModelId":"Babelscape/wikineural-multilingual-ner"}} }
 />