add ENABLE_EXPERT_PARALLEL engine arg for MoE models (#239)
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* enable expert parallel arg for moe models

* add ENABLE_EXPERT_PARALLEL to hub config
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chrisvela
2025-11-17 19:25:19 +01:00
committed by GitHub
parent c896438f21
commit 3851d53f93
3 changed files with 12 additions and 0 deletions
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@@ -85,6 +85,7 @@ Complete guide to all environment variables and configuration options for worker
| `ENFORCE_EAGER` | False | `bool` | Always use eager-mode PyTorch. If False(`0`), will use eager mode and CUDA graph in hybrid for maximal performance and flexibility. |
| `MAX_SEQ_LEN_TO_CAPTURE` | `8192` | `int` | Maximum context length covered by CUDA graphs. When a sequence has context length larger than this, we fall back to eager mode. |
| `DISABLE_CUSTOM_ALL_REDUCE` | `0` | `int` | Enables or disables custom all reduce. |
| `ENABLE_EXPERT_PARALLEL` | `False` | `bool` | Enable Expert Parallel for MoE models |
## Tokenizer Settings