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Pull requests: quic/efficient-transformers
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feat: Named graph specializations in specializations.json (Prefill/Decode/Vision/Encoder/Embedding)
enhancement
New feature or request
#894
opened Mar 27, 2026 by
vbaddi
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[QEff.finetune] Adding reference_data for comparing differences in loss values
#892
opened Mar 26, 2026 by
tchawada
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Added performance analysis as a feature with AutoModelForCausalLM
#888
opened Mar 25, 2026 by
ochougul
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Merge ft_experimental_v1 branch to main
fine-tuning
#887
opened Mar 25, 2026 by
quic-akuruvil
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feat(rebase + unify subfunctions): rebase to transformers v4.57.3 and align the subfunction changes.
enhancement
New feature or request
#882
opened Mar 25, 2026 by
vbaddi
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Multi Resolution Support for Qwen2.5-VL Model
#875
opened Mar 18, 2026 by
quic-sanising
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4 tasks done
Undo deepstack_features based changes for Qwen3VL and Qwen3VL_MOE models
#869
opened Mar 18, 2026 by
quic-dhirajku
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Draft
feat(rebase): Transformers 4.57.3 cache/rebase fixes and stabilization
enhancement
New feature or request
#865
opened Mar 17, 2026 by
vbaddi
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MLA : update attention in fused_forward, head blocking and add prefillonly transform
#857
opened Mar 16, 2026 by
quic-mamta
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Added fp16/bf16 based export and compile support for VLMs
#819
opened Mar 2, 2026 by
asmigosw
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Add support for num_crops and valid_size from vLLM
#796
opened Feb 17, 2026 by
quic-vargupt
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Updating Wan Vae pytest, Export to 45p, minor issues
#783
opened Feb 9, 2026 by
tv-karthikeya
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