Another re-attempt at GLM 4.5 Air. This time using a different training framework, some updated data and better hyperparameters.
This model is a creative writing and RP model. It's pretty verbose. The intent is to keep the behavior of the original model, but to improve writing, dialogue & creativity.
Compared to the original Iceblink, the effect on this one is more pronounced, with hopefully minimal impact on the intelligence.
SFT on approx 13 million tokens, SFW / NSFW RP, stories, creative instruct & chat data. Some of the SFW datasets are public and can be found in the model datasets list.
I've switched over from Axolotl to MS-Swift w/ Megatron to train MoE models now. There's a roughly 5-10x speedup in training the models, thanks to escaping the naive MoE implementation in TRL. The training time for this run took only 40 minutes, excluding environment setup time.
A low LR for GLM Air appears to be king. Going any higher, I've found it extremely easy to begin overcooking the model.
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MS-Swift config
Not optimized for cost / performance efficiency, YMMV.