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@HavenDV HavenDV commented Feb 10, 2025

Created by Github Actions

Summary by CodeRabbit

  • New Features
    • Increased input capacity for key models, now processing up to 32,768 tokens for extended content.
    • Optimized input handling for a preview model to improve overall efficiency.
  • Documentation
    • Refined model descriptions now clearly outline their advanced architectures and performance capabilities.

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coderabbitai bot commented Feb 10, 2025

Walkthrough

The pull request updates model configuration values in two files. In DeepInfraModelIds.cs, it increases the context lengths for DeepSeek-R1 and DeepSeek-V3 from 16,000 to 32,768, expands the description for DeepSeek-V3 with details on its MLA and DeepSeekMoE architectures, and reduces the QVQ-72B-Preview context length from 128,000 to 32,000. DeepInfraModelProvider.cs is similarly updated to reflect these context length changes in its Models dictionary, with no modifications to public API declarations.

Changes

File(s) Change Summary
src/DeepInfra/.../DeepInfraModelIds.cs Updated context lengths for DeepSeek-R1 and DeepSeek-V3 (16,000 → 32,768); expanded DeepSeek-V3 description to include MLA and DeepSeekMoE details; reduced QVQ-72B-Preview context length (128,000 → 32,000).
src/DeepInfra/.../DeepInfraModelProvider.cs Modified Models dictionary to reflect the same context length updates for DeepSeek-R1, DeepSeek-V3, and QVQ-72B-Preview; no changes to public entity declarations.

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Poem

I'm a rabbit, hopping with cheer,
Code changes are crisp and oh so clear,
Contexts stretch wide with a joyful leap,
DeepSeek models now excel, never asleep,
With MLA magic and details so bright,
I celebrate these bytes with bunny delight!


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@github-actions github-actions bot enabled auto-merge February 10, 2025 06:46
@github-actions github-actions bot merged commit 8fa3e4d into main Feb 10, 2025
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Actionable comments posted: 1

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 834d4d9 and fcaa73c.

📒 Files selected for processing (2)
  • src/DeepInfra/src/DeepInfraModelIds.cs (3 hunks)
  • src/DeepInfra/src/DeepInfraModelProvider.cs (2 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (1)
  • GitHub Check: Build and test / Build, test and publish
🔇 Additional comments (3)
src/DeepInfra/src/DeepInfraModelIds.cs (2)

34-34: Great enhancement to the DeepSeek-V3 model documentation!

The expanded description provides valuable technical details about the model's architecture, including its MoE design with 671B total parameters and the use of MLA. This helps developers better understand the model's capabilities.

Also applies to: 37-37


331-331: Verify the significant reduction in context length for QVQ-72B-Preview.

The context length has been reduced from 128000 to 32000 tokens. This could be a breaking change for applications that rely on processing longer sequences with this model.

Please confirm:

  1. Is this reduction intentional and aligned with the model's current capabilities?
  2. Should this change be documented in release notes or migration guides?
  3. Are there any existing applications that need to be updated to handle the reduced context length?
src/DeepInfra/src/DeepInfraModelProvider.cs (1)

12-12: LGTM: Context length increase for DeepSeek models.

The context length increase from 16K to 32K tokens for DeepSeekR1 and DeepseekV3 models represents an improvement in model capabilities, allowing for processing of longer inputs.

Also applies to: 14-14

{ DeepInfraModelIds.SkyT132BPreview, ToMetadata("NovaSky-AI/Sky-T1-32B-Preview",32768,1.2E-07,1.8E-07)},
{ DeepInfraModelIds.PhindCodellama34BV2, ToMetadata("Phind/Phind-CodeLlama-34B-v2",4096,6E-07,6E-07)},
{ DeepInfraModelIds.Qvq72BPreview, ToMetadata("Qwen/QVQ-72B-Preview",128000,2.5E-07,5E-07)},
{ DeepInfraModelIds.Qvq72BPreview, ToMetadata("Qwen/QVQ-72B-Preview",32000,2.5E-07,5E-07)},
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💡 Verification agent

🧩 Analysis chain

Verify impact of reduced context length for QVQ-72B-Preview.

The context length for QVQ-72B-Preview has been significantly reduced from 128K to 32K tokens. This is a potentially breaking change that could affect applications relying on the larger context window.

Run this script to check for potential impacts:


🏁 Script executed:

#!/bin/bash
# Search for direct usage of QVQ-72B-Preview model with large context
rg -l "QVQ-72B-Preview|Qvq72BPreview" | xargs rg -A 5 "context|token"

Length of output: 7322


Impact of Reduced Context Length for QVQ-72B-Preview

  • The metadata in src/DeepInfra/src/DeepInfraModelProvider.cs clearly sets the context length for QVQ-72B-Preview to 32000 tokens.
  • This is a significant reduction from the previous 128K tokens, meaning that any application relying on a larger context window may face compatibility issues.
  • No alternate references or fallback logic were found in the codebase that would mitigate this change.

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2 participants