diff --git a/docs/inference-providers/providers/cohere.md b/docs/inference-providers/providers/cohere.md
index 9a3164adb0..b6e30e8d50 100644
--- a/docs/inference-providers/providers/cohere.md
+++ b/docs/inference-providers/providers/cohere.md
@@ -49,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/tiny-aya-earth","providerModelId":"tiny-aya-earth"} } }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
index 83dde76efb..f96a8af240 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":"ibm-granite/granite-embedding-311m-multilingual-r2","providerModelId":"ibm-granite/granite-embedding-311m-multilingual-r2"} } }
+    providersMapping={ {"hf-inference":{"modelId":"ibm-granite/granite-embedding-97m-multilingual-r2","providerModelId":"ibm-granite/granite-embedding-97m-multilingual-r2"} } }
 />
 
 
@@ -120,7 +120,7 @@ Find out more about Question Answering [here](../tasks/question-answering).
 
 <InferenceSnippet
     pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"distilbert/distilbert-base-cased-distilled-squad","providerModelId":"distilbert/distilbert-base-cased-distilled-squad"} } }
+    providersMapping={ {"hf-inference":{"modelId":"deepset/minilm-uncased-squad2","providerModelId":"deepset/minilm-uncased-squad2"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/sambanova.md b/docs/inference-providers/providers/sambanova.md
index 55260dd241..68a6aadce7 100644
--- a/docs/inference-providers/providers/sambanova.md
+++ b/docs/inference-providers/providers/sambanova.md
@@ -41,13 +41,3 @@ Customers are turning to SambaNova to quickly deploy state-of-the-art AI and dee
 
 ## Supported tasks
 
-
-### Chat Completion (LLM)
-
-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 />
-
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
index b63e93c3e6..d7eda8bdbc 100644
--- a/docs/inference-providers/tasks/chat-completion.md
+++ b/docs/inference-providers/tasks/chat-completion.md
@@ -33,6 +33,7 @@ This is a subtask of [`text-generation`](https://huggingface.co/docs/inference-p
 #### Conversational Vision-Language Models (VLMs)
 
 - [zai-org/GLM-4.5V](https://huggingface.co/zai-org/GLM-4.5V): Cutting-edge reasoning vision language model.
+- [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct): Small yet powerful model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=image-text-to-text&sort=trending).
 
@@ -64,7 +65,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/tiny-aya-earth","providerModelId":"tiny-aya-earth"},"deepinfra":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"featherless-ai":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"fireworks-ai":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"accounts/fireworks/models/deepseek-v4-pro"},"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":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek/deepseek-v4-pro"},"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":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"zai-org":{"modelId":"zai-org/GLM-5.1","providerModelId":"glm-5.1"}} }
+    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"deepinfra":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"featherless-ai":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"fireworks-ai":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"accounts/fireworks/models/deepseek-v4-pro"},"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":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek/deepseek-v4-pro"},"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"},"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"zai-org":{"modelId":"zai-org/GLM-5.1","providerModelId":"glm-5.1"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/feature-extraction.md b/docs/inference-providers/tasks/feature-extraction.md
index 121694fd7b..e849f1b1a9 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":"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"}} }
+    providersMapping={ {"hf-inference":{"modelId":"ibm-granite/granite-embedding-97m-multilingual-r2","providerModelId":"ibm-granite/granite-embedding-97m-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 4e5a593340..68316f3c3f 100644
--- a/docs/inference-providers/tasks/image-text-to-text.md
+++ b/docs/inference-providers/tasks/image-text-to-text.md
@@ -23,6 +23,7 @@ Image-text-to-text models take in an image and text prompt and output text. Thes
 ### Recommended models
 
 - [zai-org/GLM-4.5V](https://huggingface.co/zai-org/GLM-4.5V): Cutting-edge reasoning vision language model.
+- [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct): Small yet powerful model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=image-text-to-text&sort=trending).
 
diff --git a/docs/inference-providers/tasks/question-answering.md b/docs/inference-providers/tasks/question-answering.md
index 191bfe4d06..e8b9cd2b19 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":"distilbert/distilbert-base-cased-distilled-squad","providerModelId":"distilbert/distilbert-base-cased-distilled-squad"}} }
+    providersMapping={ {"hf-inference":{"modelId":"deepset/minilm-uncased-squad2","providerModelId":"deepset/minilm-uncased-squad2"}} }
 />