update

docs/source/getting_started/v1_user_guide.md

@@ -1,44 +1,52 @@
 # vLLM V1 User Guide
 
-## Why vLLM v1?
-Previous blog post [vLLM V1: A Major Upgrade to vLLM's Core Architecture](https://blog.vllm.ai/2025/01/27/v1-alpha-release.html)
+## Why vLLM V1?
+Previous blog post [vLLM V1: A Major Upgrade to vLLM's Core Architecture](https://blog.vllm.ai/2025/01/27/V1-alpha-release.html)
 
 ## Semantic changes and deprecated features
 
 ### Logprobs
-- vLLM v1 now supports both sample logprobs and prompt logprobs, as introduced in this [PR](https://github.com/vllm-project/vllm/pull/9880).
+- vLLM V1 now supports both sample logprobs and prompt logprobs, as introduced in this [PR](https://github.com/vllm-project/vllm/pull/9880).
 - **Current Limitations**: 
-  - v1 prompt logprobs do not support prefix caching.
-  - v1 logprobs are computed before logits post-processing, so penalty 
+  - V1 prompt logprobs do not support prefix caching.
+  - V1 logprobs are computed before logits post-processing, so penalty 
   adjustments and temperature scaling are not applied.
 - The team is actively working on implementing logprobs that include post-sampling adjustments.
 
-### Encoder-Decoder
-- vLLM v1 is currently limited to decoder-only Transformers. Please check out our 
-  [documentation](https://docs.vllm.ai/en/latest/models/supported_models.html) for a 
-  more detailed list of the supported models. Encoder-decoder models support is not 
-  happending soon. 
+### The following features has been deprecated in V1:
 
-### List of features that are deprecated in v1
+#### Deprecated sampling features
 - best_of
 - logits_processors
 - beam_search
 
+#### Deprecated KV Cache
+- KV Cache swapping
+- KV Cache offloading
+- FP8 KV Cache
+
 ## Unsupported features
 
-### LoRA
-- LoRA works for V1 on the main branch, but its performance is inferior to that of V0.
+- **LoRA**: LoRA works for V1 on the main branch, but its performance is inferior to that 
+  of V0.
   The team is actively working on improving the performance [PR](https://github.com/vllm-project/vllm/pull/13096).
 
-### Spec Decode other than ngram
-- Currently, only ngram spec decode is supported in V1 after this [PR](https://github.com/vllm-project/vllm/pull/12193).
+- **Spec Decode other than ngram**: currently, only ngram spec decode is supported in V1 
+  after this [PR](https://github.com/vllm-project/vllm/pull/12193).
 
-### KV Cache Swapping & Offloading & FP8 KV Cache
-- vLLM v1 does not support KV Cache swapping, offloading, and FP8 KV Cache yet. The 
-  team is working actively on it.
+- **Quantization**: For V1, when the CUDA graph is enabled, it defaults to the 
+  piecewise CUDA graph introduced in this [PR](https://github.com/vllm-project/vllm/pull/10058) ; consequently, FP8 and other quantizations are not supported. 
 
+## Unsupported models
 
-## Unsupported Models
+All model with `SupportsV0Only` tag in the model definition is not supported by V1. 
+
+- **Pooling Models**: Pooling models are not supported in V1 yet.
+- **Encoder-Decoder**: vLLM V1 is currently limited to decoder-only Transformers. 
+  Please check out our 
+  [documentation](https://docs.vllm.ai/en/latest/models/supported_models.html) for a 
+  more detailed list of the supported models. Encoder-decoder models support is not 
+  happending soon. 
 
 
 ## FAQ