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mini-glm-moe

samsja

A small GLM-4 MoE model (543M parameters) for testing and development. Uses the same `Glm4MoeForCausalLM` architecture as the full GLM-4-100B-A10B but with reduced dimensions. This model is designed for testing MoE training pipelines in prime-rl without needing large pretrained checkpoints. It is small enough to run on a single GPU while exercising the same code paths as production models. The architecture mirrors THUDM/GLM-4-100B-A10B: the first layer is a dense MLP, and all subsequent layers use Mixture-of-Experts with a shared expert. Attention uses Grouped Query Attention (GQA) with partial rotary embeddings.

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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mini-glm-moe

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