THUDM / THUDM/slime

Is glm-4.7-flash MTP training in RL stage supported for now?

Open
#1,534 5 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
8.5k
Forks
1.3k
Avg merge
5h 36m
Merged PRs (30d)
22

Description

Hi dear authors, can we use --mtp-num-layers 1 --enable-mtp-training to train glm-4.7-flash in RL stage?

Contributor guide

Open the contributing guide

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

Search the training entry points and option definitions for --mtp-num-layers and --enable-mtp-training, then trace the GLM-4.7-Flash RL path. Confirm whether the flags are accepted and effective there, and document the supported configuration or the missing limitation.

Written by the indexing model from the issue text.

Assessment

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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.