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mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-12-24 13:28:13 +08:00
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5ff93d499842b078e1d21ededb4751592419868e
FastDeploy/fastdeploy/model_executor/layers/quantization
History
Sunny-bot1 43f0c7557e [Feature] Add an unquantized option for MoE and Dense quant type (#4813)
2025-11-19 16:24:03 +08:00
..
ops
[BugFix] Add support for weight shape constraints and group size selection in Machete (#4911)
2025-11-10 20:57:35 +08:00
__init__.py
[BugFix]fix v1 loader moe bf16, and supoort dynamic_load_weight create quant param (#4229)
2025-09-24 14:12:05 +08:00
block_wise_fp8.py
refactor pt loading (#4532)
2025-11-11 21:30:39 +08:00
kv_cache.py
[XPU] Support W4A8C8-TP4-300B Model (#4068)
2025-10-10 15:41:32 +08:00
mix_quant.py
[Feature] Add an unquantized option for MoE and Dense quant type (#4813)
2025-11-19 16:24:03 +08:00
quant_base.py
polish code with new pre-commit rule (#2923)
2025-07-19 23:19:27 +08:00
tensor_wise_fp8.py
[NewFeatures] support eplb (#3547)
2025-08-26 16:19:30 +08:00
w4a8.py
[XPU] Support W4A8C8-TP4-300B Model (#4068)
2025-10-10 15:41:32 +08:00
w4afp8.py
load hadamard_block_size from config (#3797)
2025-09-05 17:07:58 +08:00
w8a8.py
fix w8a8.py (#3733)
2025-09-03 10:57:26 +08:00
weight_only.py
[Metax] support default_v1 loader & thinking model (#4956)
2025-11-12 16:32:26 +08:00
wfp8afp8.py
refactor pt loading (#4532)
2025-11-11 21:30:39 +08:00
wint2.py
fix wint2 config (#4721)
2025-10-31 15:44:14 +08:00
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