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[Model] Migrate Glm, Arcee, CWM and Mellum to the Transformers modeling backend - #59679
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Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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Documentation preview: https://vllm--59679.org.readthedocs.build/en/59679/ |
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…ng backend (vllm-project#59679) Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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Overview
Move Glm, Arcee, CWM and Mellum from native vLLM implementations to the Transformers modeling backend, following #53615. Removes 3 model files (~650 lines); all four architectures remain officially supported.
Claims
GlmForCausalLM,ArceeForCausalLM,CwmForCausalLM→TransformersForCausalLM;MellumForCausalLM→TransformersMoEForCausalLM.glm.py,arcee.pyandmellum.py. CWM was a registry alias ofLlamaForCausalLM, so it only needs a registry change.mainwithin run-to-run noise for all four models.Validation
1x B200 per model,
main(d848c4ed3d) vs this branch,transformers5.17.0.mainmainzai-org/glm-4-9b-chat-hfarcee-ai/AFM-4.5B-Basefacebook/cwmJetBrains/Mellum2-12B-A2.5B-BaseThroughput is from one run per cell, so the ±1.5% differences are noise, not a speedup or regression.
gsm8k (5-shot, 1319 questions):
Throughput:
Tests:
Pull Request Checklist
I used vLLM's
/pr-checklistskill. (Mandatory for agents, optional for humans).AI assistance was used during the creation of this PR.
Design Fit: Minimizes impact on core components, reuses existing functionality, and justifies added complexity.
Testing and Validation: Validates the change and ensures any added tests are meaningful and reliable, with CI coverage or documented CI resource constraints and validation performed outside CI.
Code Quality and Style: Keeps code and comments clear and concise, and updates relevant documentation and examples.
Pull Request Contents: Includes a brief summary and relevant links, supports claims with evidence, explains root causes and implementation trade-offs, and follows the contributing guide.
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