[Docs] Fix warnings in docs build (#22588)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

docs/models/generative_models.md

@@ -4,7 +4,7 @@ vLLM provides first-class support for generative models, which covers most of LL
 
 In vLLM, generative models implement the[VllmModelForTextGeneration][vllm.model_executor.models.VllmModelForTextGeneration] interface.
 Based on the final hidden states of the input, these models output log probabilities of the tokens to generate,
-which are then passed through [Sampler][vllm.model_executor.layers.Sampler] to obtain the final text.
+which are then passed through [Sampler][vllm.model_executor.layers.sampler.Sampler] to obtain the final text.
 
 ## Configuration
 
@@ -19,7 +19,7 @@ Run a model in generation mode via the option `--runner generate`.
 ## Offline Inference
 
 The [LLM][vllm.LLM] class provides various methods for offline inference.
-See [configuration][configuration] for a list of options when initializing the model.
+See [configuration](../api/summary.md#configuration) for a list of options when initializing the model.
 
 ### `LLM.generate`
 

docs/models/pooling_models.md

@@ -81,7 +81,7 @@ which takes priority over both the model's and Sentence Transformers's defaults.
 ## Offline Inference
 
 The [LLM][vllm.LLM] class provides various methods for offline inference.
-See [configuration][configuration] for a list of options when initializing the model.
+See [configuration](../api/summary.md#configuration) for a list of options when initializing the model.
 
 ### `LLM.embed`
 

docs/models/supported_models.md

@@ -770,7 +770,7 @@ The following table lists those that are tested in vLLM.
 Cross-encoder and reranker models are a subset of classification models that accept two prompts as input.
 These models primarily support the [`LLM.score`](./pooling_models.md#llmscore) API.
 
-| Architecture                        | Models             | Inputs   | Example HF Models        | [LoRA][lora-adapter]   | [PP][parallelism-scaling]   | [V1](gh-issue:8779)   |
+| Architecture                        | Models             | Inputs   | Example HF Models        | [LoRA](../features/lora.md)   | [PP](../serving/parallelism_scaling.md)   | [V1](gh-issue:8779)   |
 |-------------------------------------|--------------------|----------|--------------------------|------------------------|-----------------------------|-----------------------|
 | `JinaVLForSequenceClassification` | JinaVL-based | T + I<sup>E+</sup> | `jinaai/jina-reranker-m0`, etc. | | | ✅︎ |