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[Klaud Cold] feat(golden-al): add GLM-5.2 MTP golden AL distribution / 新增 GLM-5.2 MTP 黄金接受长度(AL)分布 #2460

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functionstackx merged 1 commit into from
Aug 3, 2026
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[Klaud Cold] feat(golden-al): add GLM-5.2 MTP golden AL distribution / 新增 GLM-5.2 MTP 黄金接受长度(AL)分布 #2460

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1 change: 1 addition & 0 deletions golden_al_distribution/README.md
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Expand Up @@ -112,6 +112,7 @@ Before accepting an updated curve, reviewers should verify:
| Qwen3.5 397B-A17B | MTP | [`qwen3.5_mtp.yaml`](qwen3.5_mtp.yaml) | [27317114007](https://github.com/SemiAnalysisAI/InferenceX/actions/runs/27317114007) |
| Kimi K2.5 | EAGLE3 | [`kimik2.5_eagle3.yaml`](kimik2.5_eagle3.yaml) | [28122195822](https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28122195822) |
| MiniMax-M3 | EAGLE3 | [`minimaxm3_eagle3.yaml`](minimaxm3_eagle3.yaml) | [28061204145](https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28061204145) |
| GLM-5.2 | MTP | [`glm5.2_mtp.yaml`](glm5.2_mtp.yaml) | [28058352479](https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28058352479) |

## Primary references

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1 change: 1 addition & 0 deletions golden_al_distribution/README_zh.md
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Expand Up @@ -112,6 +112,7 @@ gh workflow run speedbench-al.yml \
| Qwen3.5 397B-A17B | MTP | [`qwen3.5_mtp.yaml`](qwen3.5_mtp.yaml) | [27317114007](https://github.com/SemiAnalysisAI/InferenceX/actions/runs/27317114007) |
| Kimi K2.5 | EAGLE3 | [`kimik2.5_eagle3.yaml`](kimik2.5_eagle3.yaml) | [28122195822](https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28122195822) |
| MiniMax-M3 | EAGLE3 | [`minimaxm3_eagle3.yaml`](minimaxm3_eagle3.yaml) | [28061204145](https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28061204145) |
| GLM-5.2 | MTP | [`glm5.2_mtp.yaml`](glm5.2_mtp.yaml) | [28058352479](https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28058352479) |

## 主要参考资料

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19 changes: 19 additions & 0 deletions golden_al_distribution/glm5.2_mtp.yaml
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# Source GitHub Actions run: https://github.com/SemiAnalysisAI/InferenceX/actions/runs/28058352479
# Acceptance Length (AL) reference values measured with SPEED-Bench.
# dataset: coding | temperature: 1.0 | top_p: 0.95 | output_len: 4096
# thinking_on chat_template_kwargs: {"enable_thinking": true}
# thinking_off chat_template_kwargs: {"enable_thinking": false}
# Measured on glm-5.2-fp8 (B300, vLLM MTP), per num_speculative_tokens.
# Auto-generated by benchmarks/single_node/speedbench/glm52_fp4_b300_vllm.sh (speedbench-al.yml).
#
# key = num_speculative_tokens (MTP level); value = golden AL
glm-5.2-fp8:
thinking_on:
1: 1.84
2: 2.50
3: 2.99
4: 3.33
5: 3.61
6: 3.78
7: 3.91
8: 4.06