acdf0cd1d9
fix hadamard_block_size ( #5888 )
2026-01-06 14:12:14 +08:00
44a13e4557
[Feature] support w4afp8 v1_loader and v0_loader(tp>1) ( #5757 )
...
* support
* fix
* support w4afp8 v1_loader and v0_loader
* fix
* fix test
* fix test
* fix test
* fix moe.py
* add test_ernie_4_5_w4afp8
* add test
* delete tensor
* fix test
* fix
* add
* fix test
2025-12-30 14:11:52 +08:00
11227e00bb
[GraphOptimization] Wrap deep gemm and triton as python op ( #5673 )
...
* [GraphOptimization] Wrap deep gemm and triton as python op
* add unitest to _base_test && compatibility
* paddle.static.MetaTensor -> "paddle.static.MetaTensor"
* mv register_custom_python_op
* rename yaml
---------
Co-authored-by: DrRyanHuang <zihaohuang@aliyun.com >
2025-12-24 15:23:46 +08:00
40f3897a4e
support w4afp8 moe offline permute & load ( #5613 )
2025-12-22 15:12:57 +08:00
d8587e987e
[Model] tp+ep support v1_loader ( #5465 )
...
* [Model] tp+ep support v1_loader
* fix
* fix mtp_linear
* fix mtp_linear
* fix
* fix
* fix v0 loader
* fix
* Add get_tensor for ep
* fix linear weight_loader
* fix typo
* fix
2025-12-18 14:31:54 +08:00
8735cb5045
[XPU] refactor moe ffn ( #5501 )
...
- remove BKCL_DISPATCH_ALL_GATHER
- support sparse mode
- support moe quant_method
2025-12-18 14:14:05 +08:00
404cf0ece4
[Intel HPU] enable tensor_wise_fp8 ( #5324 )
...
* [Intel HPU] enable tensor_wise_fp8
* update code based on comments
* fix code style issue
* fix bug about RP 5138
* mv kv_cache modifications to HPU backend
* fix FP8 Precision Issues
* fix FP8 Precision Issues
* Add quantization UT
---------
Co-authored-by: yanfeich <yanfei.cheng@intel.com >
Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com >
2025-12-17 16:45:03 +08:00
b8e4828373
[BugFix] fix dynamic c8 in v1 loader ( #5562 )
2025-12-15 04:07:54 -08:00
e397c4fba6
[Others] remove add_bias option ( #5425 )
2025-12-09 17:39:35 +08:00
be0c960260
[BugFix] dynamic cache kv block_wise_fp8 not need create layer.cache_k_scale ( #5362 )
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2025-12-03 05:32:59 -08:00
3629db4129
[Quantization] Support w4afp8 MoE dynamic quantization ( #5282 )
...
* support dynamic activation quant for w4afp8
* support dynamic w4afp8
* add test
* fix
* fix
---------
Co-authored-by: zhoutianzi666 <17801055074@163.com >
2025-12-02 18:56:16 +08:00
e150a418d4
support moe offline quant ( #5142 )
2025-11-24 18:59:18 +08:00
43f0c7557e
[Feature] Add an unquantized option for MoE and Dense quant type ( #4813 )
2025-11-19 16:24:03 +08:00
ae7bee8122
【New Feature】W4afp8 supports per group quantization ( #4987 )
...
* w4afp8 支持per group
* code style
* fix transpose
* revert fast hardmard
---------
Co-authored-by: yuanxiaolan <yuanxiaolan01@baidu.com >
Co-authored-by: plusNew001 <95567040+plusNew001@users.noreply.github.com >
2025-11-13 19:17:27 +08:00
9d9f5df8d0
[Metax] support default_v1 loader & thinking model ( #4956 )
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Co-authored-by: plusNew001 <95567040+plusNew001@users.noreply.github.com >
2025-11-12 16:32:26 +08:00
b09ebb2813
refactor pt loading ( #4532 )
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2025-11-11 21:30:39 +08:00
3dc0ffa46d
[TSP] Support qwen3 moe tsp + cudagraph ( #4871 )
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* support qwen3_moe tsp mode
* fix
* fix
* update
* update
* update
* fix
* support external_rmsnorm
* update
* fix
2025-11-10 23:37:51 +08:00
59d2edde29
[BugFix] Add support for weight shape constraints and group size selection in Machete ( #4911 )
2025-11-10 20:57:35 +08:00
819b2dbbae
Revert "【New Feature】W4afp8 supports per group quantization ( #4272 )" ( #4854 )
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This reverts commit 93fcf7e4ec
2025-11-06 17:48:28 +08:00
93fcf7e4ec
【New Feature】W4afp8 supports per group quantization ( #4272 )
...
* w4afp8 支持per group
* code style
* 精度完成
* revert append attn utils
* ffn1 动态量化
* ffn2 支持动态量化
* code style
* code style
* 修改单测
* 修改单测
* fix bug
* Implement conditional parameter creation for layers
Add parameter creation for up_gate_proj_in_scale when ep_size > 1.
* code style
* fix conflict
* code style
* code style
* 修复w4aint8 精度
* fix ci
---------
Co-authored-by: yuanxiaolan <yuanxiaolan01@baidu.com >
2025-11-05 21:00:23 +08:00
316f784016
fix wint2 config ( #4721 )
2025-10-31 15:44:14 +08:00
4ffe41a747
WINT4/WINT8 dense gemm default use Machete ( #4451 )
2025-10-23 17:57:59 +08:00
db82e9a022
[BugFix]Fix wfp8afp8 triton moe group_topk renormalized=True ( #4449 )
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* fix group_topk renormalized=True
* check test
2025-10-16 23:17:48 +08:00
26ff2f8683
[XPU] refine fused moe ( #4219 )
2025-10-16 19:04:07 +08:00
20c7b741f4
[XPU] Support W4A8C8-TP4-300B Model ( #4068 )
...
* support w4a8
* delete ep block attn
* delete moe_topk_select
* update note
* update
* delte useless info
* update
* add some note
* fix some format
* update scale info
* add ans baseline
---------
Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com >
2025-10-10 15:41:32 +08:00
7c919070f7
[Metax] support cutlass moe & optimize flash attention ( #4208 )
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2025-09-29 11:22:43 +08:00
aa1cc09c5b
fix machete pre quant ( #4295 )
2025-09-28 16:11:09 +08:00
7c1fd19f0f
[OPs] MoE support wfp8afp8(channelwise) and improve per_token_quant_fp8 ( #4238 )
2025-09-24 16:39:51 +08:00
3161014e49
[BugFix]fix v1 loader moe bf16, and supoort dynamic_load_weight create quant param ( #4229 )
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* fix v1 loader moe bf16, and supoort dynamic_load_weight create quant param
* include_stop_str_in_output=False not return eos text
2025-09-24 14:12:05 +08:00
c3b8ebeb18
[Optimize] Machete using group scale default ( #4121 )
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2025-09-18 13:51:11 +08:00
113e330030
fix bf16 and add comments ( #4106 )
2025-09-15 17:23:07 +08:00
9409665713
[xpu] support ep ( #4067 )
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2025-09-15 13:53:11 +08:00
29ed617f0f
[v1 loader]qwen Offline fp8 ( #4036 )
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* support offline fp8
* update ut
* update ut
* update ut
* fix
* update
* update
2025-09-15 13:44:11 +08:00
b1a5b756a3
[Optimize] Support WINT8 and group scale for Machete ( #3905 )
2025-09-15 12:01:34 +08:00
88ea565aba
[BugFix]Fix load kv cache quant scale ( #4077 )
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* fix kv cache
* fix kv_cache
* fix kv cache
2025-09-12 17:44:03 +08:00
805f29a06c
[Feature] refactor metax_gpu attention and moe and remove some useless code ( #3688 )
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Co-authored-by: yongqiangma <xing.wo@163.com >
2025-09-12 14:40:25 +08:00
4859f40b20
[Feature] GLM-45-AIR Support Mix Quantization(Dense wfp8afp8 and wint8 triton_moe_backend) ( #4051 )
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2025-09-11 20:08:09 +08:00
3b1da6e4dd
support v1 loader for machete ( #3999 )
2025-09-10 10:21:33 +08:00
b3fac5bde1
[V1 Loader] Ernie kv cache quant support v1 loader ( #3899 )
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* support c8 for ernie
* add unittest
* support vl
* fix c8
2025-09-09 05:25:08 -07:00
af49b81ffd
supports dynamic Cfp8 ( #3767 )
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* supports dynamic Cfp8
* add unittest
2025-09-07 20:41:29 -07:00
e52ce1c4b1
cache feature ( #3857 )
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2025-09-07 18:52:46 +08:00
2cf55168ca
load hadamard_block_size from config ( #3797 )
2025-09-05 17:07:58 +08:00
41aee08982
【Inference Optimize】Update MergedReplicatedLinear for DSK qkv_a_proj_with_mqa. ( #3673 )
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* support MergedReplicatedLinear
* update MergedReplicatedLinear to support DSK_wint4 V1_load
* update model name
* update linear class
* fix
* fix v0 moe_bias load
---------
Co-authored-by: bukejiyu <52310069+bukejiyu@users.noreply.github.com >
2025-09-04 21:16:05 -07:00
ce998449e0
fix w8a8.py ( #3733 )
2025-09-03 10:57:26 +08:00
fe5d09f9ee
[FIX]Fix Machete compile via ENABLE_MACHETE ( #3727 )
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* add ENABLE_MACHETE
* fix
* revert
* update
* pre_commit
* fix
* fix
---------
Co-authored-by: Ayakouji <yuhongh@qq.com >
Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com >
Co-authored-by: aquagull <hongyuh@qq.com >
2025-08-30 17:50:17 +08:00
17b414c2df
MoE Default use triton's blockwise fp8 in TP Case ( #3678 )
2025-08-29 11:07:30 +08:00
479c8b85d3
[Optimize]support machete weight only gemm ( #3561 )
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* support machete weight only gemm
* add generate
* update
* fix
* change file location
* add sm_version limit
* fix
* fix
* fix ci
* fix coverage
* fix xpu
2025-08-28 09:49:58 +08:00
3200a80de3
[v1 loader]support fp8 ( #3593 )
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* support fp8
* update ci
2025-08-26 02:42:46 -07:00
9afa236e39
[NewFeatures] support eplb ( #3547 )
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* [NewFeatures] support eplb
* fix eplb
2025-08-26 16:19:30 +08:00
9205c88da1
support w4afp8 EP inference ( #3044 )
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2025-08-25 11:27:45 +08:00
lizexu123