[TRTLLM-7971][doc] Doc update for multimodal in v1.1

[chang-l]

Summary by CodeRabbit

• Documentation
  • Updated multimodal feature support matrix to reflect expanded capabilities including KV Cache Reuse and Chunked Prefill for Mistral-Small-3.1, Phi-4-multimodal, LlavaNext, and other models
  • Added documentation entries for new vision-language model variants with comprehensive feature support

Description

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[coderabbitai]

📝 Walkthrough

Walkthrough

Documentation files containing multimodal feature support matrices were updated to reflect expanded feature coverage for several models, including LlavaNextForConditionalGeneration, Mistral-Small-3.1, Phi-4-multimodal, and new Qwen2 vision-language variants.

Changes

Cohort / File(s)

Change Summary

Multimodal Feature Support Matrix Updates docs/source/legacy/reference/multimodal-feature-support-matrix.md, docs/source/models/supported-models.md

Updated feature support coverage for multimodal models. Mistral-Small-3.1 and Phi-4-multimodal now show "Yes" for KV Cache Reuse and Chunked Prefill. LlavaNextForConditionalGeneration expanded to show "Yes" for multiple features. NemotronH_Nano_VL_V2 KV Cache Reuse changed from "No" to "N/A". New entries for Qwen2VLForConditionalGeneration and Qwen2_5_VLForConditionalGeneration with "Yes" across all features.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~5 minutes

• These are documentation-only changes updating feature support matrix tables with no code logic or structural modifications

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is incomplete; it only contains the template with instructions and no actual content in the Description or Test Coverage sections.	Add a clear description explaining what multimodal documentation was updated and why. Also provide details on any test coverage or validation performed for the documentation changes.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly summarizes the main change: documentation update for multimodal feature support in v1.1, with a JIRA ticket reference and proper [doc] type tag.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

✨ Finishing touches

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• Create PR with unit tests
• Post copyable unit tests in a comment

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📜 Recent review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between def2ad5 and 265fa14.

📒 Files selected for processing (2)

• docs/source/legacy/reference/multimodal-feature-support-matrix.md (1 hunks)
• docs/source/models/supported-models.md (1 hunks)

🧰 Additional context used

🧠 Learnings (2)

📓 Common learnings

Learnt from: venkywonka
Repo: NVIDIA/TensorRT-LLM PR: 6029
File: .github/pull_request_template.md:45-53
Timestamp: 2025-08-27T17:50:13.264Z
Learning: For PR templates in TensorRT-LLM, avoid suggesting changes that would increase developer overhead, such as converting plain bullets to mandatory checkboxes. The team prefers guidance-style bullets that don't require explicit interaction to reduce friction in the PR creation process.

📚 Learning: 2025-08-06T03:47:16.802Z

Learnt from: venkywonka
Repo: NVIDIA/TensorRT-LLM PR: 6650
File: tests/integration/test_lists/qa/llm_perf_cluster.yml:33-37
Timestamp: 2025-08-06T03:47:16.802Z
Learning: Ministral is a valid and distinct model family from Mistral AI, separate from their regular Mistral models. Ministral 8B is specifically designed for edge computing and on-device applications, released in October 2024. In TensorRT-LLM test configurations, "ministral_8b" and "ministral_8b_fp8" are correct model identifiers and should not be changed to "mistral_8b".

Applied to files:

• docs/source/legacy/reference/multimodal-feature-support-matrix.md

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)

• GitHub Check: Pre-commit Check

🔇 Additional comments (2)

docs/source/models/supported-models.md (1)

51-57: Table structure and entries look well-formed.

The multimodal feature matrix updates are consistently formatted. The new Qwen entries (lines 56–57) and expanded coverage for existing models maintain proper column alignment and data integrity. The use of "N/A" for NemotronH_Nano_VL_V2's KV Cache Reuse appears intentional and architecturally justified.

Please verify that the expanded feature coverage (e.g., "Yes" for Chunked Prefill and KV Cache Reuse on LlavaNextForConditionalGeneration, and comprehensive support across new Qwen variants) aligns with the actual implementation status in the code. Since this is a v1.1 release document, it's important to confirm these claims reflect the current implementation capabilities.

docs/source/legacy/reference/multimodal-feature-support-matrix.md (1)

10-11: Feature status updates are consistent across documentation files.

The KV Cache Reuse and Chunked Prefill status changes for Mistral-Small-3.1 and Phi-4-multimodal align with the expanded coverage documented in the primary models file. Table formatting is maintained cleanly.

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