HongriJiujiu/op_pangu

• highreadme#1

  Reposition README's opening to clarify research focus and de-emphasize base model

  Why:

  CURRENT

  # Silent Inconsistency in Data-Parallel Full Fine-Tuning
  ### Experimental Fine-Tuned Models (S1-1 / S1-2 / S1-3)
  This repository provides **three fully fine-tuned models** corresponding to the experimental settings in the paper:

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  # Silent Inconsistency in Data-Parallel Full Fine-Tuning: Research Artifacts and Models
  ### Experimental Fine-Tuned Models (S1-1 / S1-2 / S1-3)
  
  This repository provides **research artifacts and three fully fine-tuned models** for reproducing and analyzing the phenomenon of **worker-level optimization misalignment** under synchronous data-parallel (DDP) full-parameter fine-tuning. Our work, detailed in the paper:
  
  > **Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misalignment**
  
  focuses on diagnosing this issue. While the models were fine-tuned using an OpenPangu base, the core contribution and focus of this repository are the *diagnostic methods and analysis of training inconsistencies*, not the OpenPangu model itself.

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• highabout#2

  Add a concise repository description

  Why:

  CURRENT

  (none)

  COPY-PASTE FIX

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  Research artifacts and fine-tuned models for diagnosing silent inconsistencies and worker-level optimization misalignment in data-parallel full fine-tuning.

  OpenDoneDismiss
• highlicense#3

  Add a LICENSE file

  Why:

  CURRENT

  (no LICENSE file detected — the repo has no recognizable license)

  COPY-PASTE FIX

  Copy

  Create a LICENSE file in the repository root. A common choice for research code is the MIT License. For example, create a file named 'LICENSE' with the content:
  
  MIT License
  
  Copyright (c) [YEAR] [COPYRIGHT HOLDER NAME]
  
  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:
  
  The above copyright notice and this permission notice shall be included in all
  copies or substantial portions of the Software.
  
  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  SOFTWARE.

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How can I diagnose silent inconsistencies in data-parallel full fine-tuning models?

  you: not recommended
  Show full AI answer
• CATEGORY QUERY

  What tools help monitor worker-level optimization misalignment during distributed model training?

  you: not recommended
  AI recommended (in order):

  1. TensorBoard
  2. Weights & Biases (W&B)
  3. MLflow
  4. Prometheus & Grafana
  5. Ray Tune

  AI recommended 5 alternatives but never named HongriJiujiu/op_pangu. This is the gap to close.

  Show full AI answer

• Metadata completeness

  fail

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of HongriJiujiu/op_pangu?

  pass
  ✓AI named HongriJiujiu/op_pangu explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts HongriJiujiu/op_pangu in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named HongriJiujiu/op_pangu explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo HongriJiujiu/op_pangu solve, and who is the primary audience?

  pass
  ✓AI named HongriJiujiu/op_pangu explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?