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[doc] FAQ #10

Description

@tpoisonooo

New access links

Try it here:

[Deprecated] Cannot download result on OpenXLab

This is https vs http problem. Just use https://g-app-center-120612-6433-jpdvmvp.openxlab.space instead of https://openxlab.org.cn/apps/detail/chenzihonga/GraphGen

Or you can:

STEP1. right-click download button and "copy link"
Image

STEP2. open a new broswer tab, input the link

Image

Activity

  1. tpoisonooo commented on Apr 27, 2025

    @tpoisonooo
    ContributorAuthor

    Why not CP (Continue Pretraining) / How about base model know nothing about the domain knowledge ?

    When SFT data is sufficient, the model can also learn new knowledge. Completing "data cleaning-CP-SFT-DPO" from scratch costs hundreds of thousands of dollars. As an engineer rather than an academic researcher, GraphGen is the best solution we can give.

  2. pinned this issue on Apr 27, 2025
  3. changed the title [-]FAQ[/-] [+][doc] FAQ[/+] on Apr 27, 2025
  4. tpoisonooo commented on Apr 27, 2025

    @tpoisonooo
    ContributorAuthor

    Why all of output loss are same value?

    Image

    See #17 and try vllm serve with v0.6.6post1 version.

    logprobs in v0.8.3 still fails vllm-project/vllm#16838

  5. unlimited0715 commented on Dec 30, 2025

    @unlimited0715

    What should I fill in for the tokenizer if I use a large language model deployed locally via Ollama as the Synthesizer Model?

  6. ChenZiHong-Gavin commented on Dec 30, 2025

    @ChenZiHong-Gavin
    Collaborator

    What should I fill in for the tokenizer if I use a large language model deployed locally via Ollama as the Synthesizer Model?

    You can use the default tiktoken tokenizers like "cl100k_base".

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