Ruonan Wang
f64257a093
LLM: basic api support for esimd fp16 ( #9067 )
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* basic api support for fp16
* fix style
* fix
* fix error and style
* fix style
* meet code review
* update based on comments
2023-10-09 11:05:17 +08:00
JIN Qiao
65373d2a8b
LLM: adjust portable zip content ( #9054 )
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* LLM: adjust portable zip content
* LLM: adjust portable zip README
2023-10-09 10:51:19 +08:00
Xin Qiu
b3e94a32d4
change log4error import ( #9098 )
2023-10-08 09:23:28 +08:00
Kai Huang
78ea7ddb1c
Combine apply_rotary_pos_emb for gpt-neox ( #9074 )
2023-10-07 16:27:46 +08:00
Yang Wang
36dd4afd61
Fix llama when rope scaling is not None ( #9086 )
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* Fix llama when rope scaling is not None
* fix style
* fix style
2023-10-06 13:27:37 -07:00
Yang Wang
fcb1c618a0
using bigdl-llm fused rope for llama ( #9066 )
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* optimize llama xpu rope
* fix bug
* fix style
* refine append cache
* remove check
* do not cache cos sin
* remove unnecessary changes
* clean up
* fix style
* check for training
2023-10-06 09:57:29 -07:00
Jiao Wang
aefa5a5bfe
Qwen kv cache ( #9079 )
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* qwen and aquila
* update
* update
* style
2023-10-05 11:59:17 -07:00
Jiao Wang
d5ca1f32b6
Aquila KV cache optimization ( #9080 )
...
* update
* update
* style
2023-10-05 11:10:57 -07:00
Yang Wang
88565c76f6
add export merged model example ( #9018 )
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* add export merged model example
* add sources
* add script
* fix style
2023-10-04 21:18:52 -07:00
Yang Wang
0cd8f1c79c
Use ipex fused rms norm for llama ( #9081 )
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* also apply rmsnorm
* fix cpu
2023-10-04 21:04:55 -07:00
Cengguang Zhang
fb883100e7
LLM: support chatglm-18b convert attention forward in benchmark scripts. ( #9072 )
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* add chatglm-18b convert.
* fix if statement.
* fix
2023-09-28 14:04:52 +08:00
Yishuo Wang
6de2189e90
[LLM] fix chatglm main choice ( #9073 )
2023-09-28 11:23:37 +08:00
Cengguang Zhang
ad62c58b33
LLM: Enable jemalloc in benchmark scripts. ( #9058 )
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* enable jemalloc.
* fix readme.
2023-09-26 15:37:49 +08:00
Cengguang Zhang
b4a1266ef0
[WIP] LLM: add kv cache support for internlm. ( #9036 )
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* LLM: add kv cache support for internlm
* add internlm apply_rotary_pos_emb
* fix.
* fix style.
2023-09-25 14:16:59 +08:00
Ruonan Wang
975da86e00
LLM: fix gptneox kv cache ( #9044 )
2023-09-25 13:03:57 +08:00
Cengguang Zhang
26213a5829
LLM: Change benchmark bf16 load format. ( #9035 )
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* LLM: Change benchmark bf16 load format.
* comment on bf16 chatglm.
* fix.
2023-09-22 17:38:38 +08:00
JinBridge
023555fb1f
LLM: Add one-click installer for Windows ( #8999 )
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* LLM: init one-click installer for windows
* LLM: fix typo in one-click installer readme
* LLM: one-click installer try except logic
* LLM: one-click installer add dependency
* LLM: one-click installer adjust README.md
* LLM: one-click installer split README and add zip compress in setup.bat
* LLM: one-click installer verified internlm and llama2 and replace gif
* LLM: remove one-click installer images
* LLM: finetune the one-click installer README.md
* LLM: fix typo in one-click installer README.md
* LLM: rename one-click installer to protable executable
* LLM: rename other places to protable executable
* LLM: rename the zip filename to executable
* LLM: update .gitignore
* LLM: add colorama to setup.bat
2023-09-22 14:46:30 +08:00
Jiao Wang
028a6d9383
MPT model optimize for long sequence ( #9020 )
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* mpt_long_seq
* update
* update
* update
* style
* style2
* update
2023-09-21 21:27:23 -07:00
Ruonan Wang
b943d73844
LLM: refactor kv cache ( #9030 )
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* refactor utils
* meet code review; update all models
* small fix
2023-09-21 21:28:03 +08:00
Cengguang Zhang
868511cf02
LLM: fix kv cache issue of bloom and falcon. ( #9029 )
2023-09-21 18:12:20 +08:00
Ruonan Wang
bf51ec40b2
LLM: Fix empty cache ( #9024 )
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* fix
* fix
* update example
2023-09-21 17:16:07 +08:00
Yina Chen
714884414e
fix error ( #9025 )
2023-09-21 16:42:11 +08:00
binbin Deng
edb225530b
add bark ( #9016 )
2023-09-21 12:24:58 +08:00
SONG Ge
fa47967583
[LLM] Optimize kv_cache for gptj model family ( #9010 )
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* optimize gptj model family attention
* add license and comment for dolly-model
* remove xpu mentioned
* remove useless info
* code sytle
* style fix
* code style in gptj fix
* remove gptj arch
* move apply_rotary_pos_emb into utils
* kv_seq_length update
* use hidden_states instead of query layer to reach batch size
2023-09-21 10:42:08 +08:00
Cengguang Zhang
b3cad7de57
LLM: add bloom kv cache support ( #9012 )
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* LLM: add bloom kv cache support
* fix style.
2023-09-20 21:10:53 +08:00
Kai Huang
156af15d1e
Add NF3 ( #9008 )
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* add nf3
* grammar
2023-09-20 20:03:07 +08:00
Kai Huang
6981745fe4
Optimize kv_cache for gpt-neox model family ( #9015 )
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* override gptneox
* style
* move to utils
* revert
2023-09-20 19:59:19 +08:00
JinBridge
48b503c630
LLM: add example of aquila ( #9006 )
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* LLM: add example of aquila
* LLM: replace AquilaChat with Aquila
* LLM: shorten prompt of aquila example
2023-09-20 15:52:56 +08:00
Cengguang Zhang
735a17f7b4
LLM: add kv cache to falcon family. ( #8995 )
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* add kv cache to falcon family.
* fix: import error.
* refactor
* update comments.
* add two version falcon attention forward.
* fix
* fix.
* fix.
* fix.
* fix style.
* fix style.
2023-09-20 15:36:30 +08:00
Ruonan Wang
94a7f8917b
LLM: fix optimized kv cache for baichuan-13b ( #9009 )
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* fix baichuan 13b
* fix style
* fix
* fix style
2023-09-20 15:30:14 +08:00
Yang Wang
c88f6ec457
Experiment XPU QLora Finetuning ( #8937 )
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* Support xpu finetuning
* support xpu finetuning
* fix style
* fix style
* fix style
* refine example
* add readme
* refine readme
* refine api
* fix fp16
* fix example
* refactor
* fix style
* fix compute type
* add qlora
* refine training args
* fix example
* fix style
* fast path forinference
* address comments
* refine readme
* revert lint
2023-09-19 10:15:44 -07:00
Jason Dai
51518e029d
Update llm readme ( #9005 )
2023-09-19 20:01:33 +08:00
Ruonan Wang
249386261c
LLM: add Baichuan2 cpu example ( #9002 )
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* add baichuan2 cpu examples
* add link
* update prompt
2023-09-19 18:08:30 +08:00
Ruonan Wang
004c45c2be
LLM: Support optimized kv_cache for baichuan family ( #8997 )
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* add initial support for baichuan attantion
* support baichuan1
* update based on comment
* update based on comment
* support baichuan2
* update link, change how to jusge baichuan2
* fix style
* add model parameter for pob emb
* update based on comment
2023-09-19 15:38:54 +08:00
Xin Qiu
37bb0cbf8f
Speed up gpt-j in gpubenchmark ( #9000 )
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* Speedup gpt-j in gpubenchmark
* meet code review
2023-09-19 14:22:28 +08:00
Zhao Changmin
2a05581da7
LLM: Apply low_cpu_mem_usage algorithm on optimize_model API ( #8987 )
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* low_cpu_mem_usage
2023-09-18 21:41:42 +08:00
Cengguang Zhang
8299b68fea
update readme. ( #8996 )
2023-09-18 17:06:15 +08:00
binbin Deng
c1d25a51a8
LLM: add optimize_model example for bert ( #8975 )
2023-09-18 16:18:35 +08:00
Cengguang Zhang
74338fd291
LLM: add auto torch dtype in benchmark. ( #8981 )
2023-09-18 15:48:25 +08:00
Ruonan Wang
cabe7c0358
LLM: add baichuan2 example for arc ( #8994 )
...
* add baichuan2 examples
* add link
* small fix
2023-09-18 14:32:27 +08:00
binbin Deng
0a552d5bdc
LLM: fix installation on windows ( #8989 )
2023-09-18 11:14:54 +08:00
Ruonan Wang
32716106e0
update use_cahce=True ( #8986 )
2023-09-18 07:59:33 +08:00
Xin Qiu
64ee1d7689
update run_transformer_int4_gpu ( #8983 )
...
* xpuperf
* update run.py
* clean upo
* uodate
* update
* meet code review
2023-09-15 15:10:04 +08:00
Zhao Changmin
16b9412e80
tie_word_embeddings ( #8977 )
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tie_word_embeddings
2023-09-15 10:17:09 +08:00
JinBridge
c12b8f24b6
LLM: add use_cache=True for all gpu examples ( #8971 )
2023-09-15 09:54:38 +08:00
Guancheng Fu
d1b62ef2f2
[bigdl-llm] Remove serving-dep from all_requires ( #8980 )
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* Remove serving-dep from all_requires
* pin fastchat version
2023-09-14 16:59:24 +08:00
Yishuo Wang
bcf456070c
fix bloom-176b int overflow ( #8973 )
2023-09-14 14:37:57 +08:00
Ruonan Wang
dd57623650
LLM: reduce GPU memory for optimize_model=True ( #8965 )
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* reduce gpu memory for llama & chatglm
* change to device type
2023-09-13 17:27:09 +08:00
binbin Deng
be29c75c18
LLM: refactor gpu examples ( #8963 )
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* restructure
* change to hf-transformers-models/
2023-09-13 14:47:47 +08:00
Cengguang Zhang
cca84b0a64
LLM: update llm benchmark scripts. ( #8943 )
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* update llm benchmark scripts.
* change tranformer_bf16 to pytorch_autocast_bf16.
* add autocast in transformer int4.
* revert autocast.
* add "pytorch_autocast_bf16" to doc
* fix comments.
2023-09-13 12:23:28 +08:00