Tencent / Tencent/AngelSlim

能否提供1.58bit量化模型的具体实现参考

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Dominant language
Python
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Description

尝试使用提供的sherry和TWN进行1.58bit量化均失败,模型输出乱码,能否提供更加详细的指导说明。

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the reported garbled output with the provided sherry and TWN approaches, recording the model and quantization settings used. Review the existing 1.58-bit quantization guidance and examples, then document a complete reference workflow and the expected output so users can verify that the process works.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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