Yuwen Hu
c52bdff76b
Update Deepseek coder GPU example ( #12712 )
...
* Update Deepseek coder GPU example
* Fix based on comment
2025-01-16 14:05:31 +08:00
Yuwen Hu
9d65dcd7ef
Fix deepseek coder with linear rope type support on GPU ( #12709 )
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* Fix deepseek coder with linear rope type
* Style fix
* Move to optimize_pre
* Small fix
* Small fix
* Small fix to not affect other cases
* Style fixes
* Update function name
* Small fix
* Small fix
* Small fix
* Fix for low transformers version first
* Style fix
* Small fix
2025-01-15 21:12:34 +08:00
Cengguang Zhang
9930351112
LLM: add new qtype woq_int4 to support gemm int4 temporary. ( #12706 )
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This PR add temporary qtype woq_int4 to avoid affecting other qtype and models.
Co-authored-by: leonardozcm <leonardo1997zcm@gmail.com>
2025-01-15 14:41:33 +08:00
Xu, Shuo
350fae285d
Add Qwen2-VL HF GPU example with ModelScope Support ( #12606 )
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* Add qwen2-vl example
* complete generate.py & readme
* improve lint style
* update 1-6
* update main readme
* Format and other small fixes
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Co-authored-by: Yuwen Hu <yuwen.hu@intel.com>
2025-01-13 15:42:04 +08:00
Yuwen Hu
a1da7908b9
Fix name device is not found bug ( #12703 )
2025-01-13 10:11:02 +08:00
Yishuo Wang
db9db51e2c
fix lnl perf ( #12700 )
2025-01-10 18:00:58 +08:00
binbin Deng
da8bcb7db1
[NPU ] fix load logic of glm-edge models ( #12698 )
2025-01-10 16:08:37 +08:00
Yishuo Wang
f8dc408888
fix user issue ( #12692 )
2025-01-10 10:18:47 +08:00
Yishuo Wang
68857494a5
refactor to simplify following upgrade 2 ( #12685 )
2025-01-10 09:29:03 +08:00
Yishuo Wang
7234c9b27b
update quantize kv cache condition ( #12681 )
2025-01-09 15:23:04 +08:00
Yuwen Hu
5d8081afbc
Remove dummy model from performance tests ( #12682 )
2025-01-09 14:50:17 +08:00
Yishuo Wang
1ec40cd09e
refactor to simplify following upgrade ( #12680 )
2025-01-09 13:34:30 +08:00
Yishuo Wang
5c24276fc4
fix custom kernel registration ( #12674 )
2025-01-08 17:39:17 +08:00
Yishuo Wang
a22a8c21bb
small fix and remove ununsed code about ipex ( #12671 )
2025-01-08 17:39:04 +08:00
Yishuo Wang
c11f5f0fcd
also convert SdpaAttention in optimize_model ( #12673 )
2025-01-08 16:48:03 +08:00
Yishuo Wang
7dd156d292
small fix and add comment ( #12670 )
2025-01-08 10:56:50 +08:00
Yishuo Wang
ccf618ff4a
Remove all ipex usage ( #12666 )
2025-01-08 10:31:18 +08:00
Yuwen Hu
5db6f9dcde
Add option with PyTorch 2.6 RC version for testing purposes ( #12668 )
...
* Add option with PyTorch 2.6 RC version for testing purposes
* Small update
2025-01-07 18:28:55 +08:00
Yishuo Wang
f9ee7898c8
fix onednn dependency bug ( #12665 )
2025-01-07 16:26:56 +08:00
Yishuo Wang
29ad5c449e
refactor codegeex to remove ipex kernel usage ( #12664 )
2025-01-07 16:17:40 +08:00
Yuwen Hu
525b0ee991
[NPU] Tiny fixes on examples ( #12661 )
2025-01-07 14:30:38 +08:00
Yuwen Hu
ebdf19fa7e
[NPU] Further fix saving of generation config ( #12657 )
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* Further fix saving of generation config
* Fix based on comments
* Small fix
2025-01-07 13:53:54 +08:00
Yuwen Hu
381d448ee2
[NPU] Example & Quickstart updates ( #12650 )
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* Remove model with optimize_model=False in NPU verified models tables, and remove related example
* Remove experimental in run optimized model section title
* Unify model table order & example cmd
* Move embedding example to separate folder & update quickstart example link
* Add Quickstart reference in main NPU readme
* Small fix
* Small fix
* Move save/load examples under NPU/HF-Transformers-AutoModels
* Add low-bit and polish arguments for LLM Python examples
* Small fix
* Add low-bit and polish arguments for Multi-Model examples
* Polish argument for Embedding models
* Polish argument for LLM CPP examples
* Add low-bit and polish argument for Save-Load examples
* Add accuracy tuning tips for examples
* Update NPU qucikstart accuracy tuning with low-bit optimizations
* Add save/load section to qucikstart
* Update CPP example sample output to EN
* Add installation regarding cmake for CPP examples
* Small fix
* Small fix
* Small fix
* Small fix
* Small fix
* Small fix
* Unify max prompt length to 512
* Change recommended low-bit for Qwen2.5-3B-Instruct to asym_int4
* Update based on comments
* Small fix
2025-01-07 13:52:41 +08:00
Yishuo Wang
ddc0ef3993
refactor device check and remove cohere/mixtral support ( #12659 )
2025-01-07 11:15:51 +08:00
Yishuo Wang
ea65e4fecc
remove falcon support and related UT ( #12656 )
2025-01-07 09:26:00 +08:00
Yina Chen
fae73eee79
[NPU] Support save npu quantized model without npu dependency ( #12647 )
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* support save awq
* load quantized model & save npu compiled model
* fix style
* update
* fix dll load issue
* update error message
* fix style
2025-01-06 18:06:22 +08:00
Yishuo Wang
502461d836
remove unnecessary ipex kernel usage ( #12649 )
2025-01-03 16:45:24 +08:00
Yishuo Wang
9f8b134889
add ipex-llm custom kernel registration ( #12648 )
2025-01-03 16:45:04 +08:00
binbin Deng
0b377100c5
Add guide for save-load usage ( #12498 )
2025-01-03 16:30:15 +08:00
Wang, Jian4
6711a48a36
Enable internvl2-8b on vllm( #12645 )
2025-01-03 14:49:36 +08:00
Zijie Li
8fd2dcba86
Add benchmark_util for transformers >= 4.47.0 ( #12644 )
2025-01-03 10:48:29 +08:00
Yina Chen
8e5328e9b4
add disable opts for awq ( #12641 )
2025-01-02 15:45:22 +08:00
Xu, Shuo
62318964fa
Update llama example information ( #12640 )
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Co-authored-by: ATMxsp01 <shou.xu@intel.com>
2025-01-02 13:48:39 +08:00
Yishuo Wang
81211fd010
remove unused code ( #12635 )
2025-01-02 13:31:09 +08:00
binbin Deng
534566e290
[NPU] Support minicpm-v with python cpp backend ( #12637 )
2025-01-02 11:13:15 +08:00
Yishuo Wang
f289f68d57
small fix ( #12634 )
2024-12-30 17:14:25 +08:00
Yishuo Wang
2d08155513
remove bmm, which is only required in ipex 2.0 ( #12630 )
2024-12-27 17:28:57 +08:00
binbin Deng
f17ccfa61a
[NPU] Fix save-load usage of minicpm models ( #12628 )
2024-12-27 15:56:46 +08:00
Yishuo Wang
c72a5db757
remove unused code again ( #12624 )
2024-12-27 14:17:11 +08:00
binbin Deng
46eeab4479
[NPU] Fix regression caused by layer_norm change ( #12627 )
2024-12-27 14:08:49 +08:00
Ruonan Wang
90f6709486
[remove pipeline examples ( #12626 )
2024-12-27 13:42:28 +08:00
Zijie Li
5f04ed7254
NPU] Update prompt format for baichuan2-pipeline ( #12625 )
2024-12-27 11:30:54 +08:00
Yishuo Wang
34dbdb8ee3
small fix ( #12623 )
2024-12-27 10:19:27 +08:00
Xu, Shuo
55ce091242
Add GLM4-Edge-V GPU example ( #12596 )
...
* Add GLM4-Edge-V examples
* polish readme
* revert wrong changes
* polish readme
* polish readme
* little polish in reference info and indent
* Small fix and sample output updates
* Update main readme
---------
Co-authored-by: Yuwen Hu <yuwen.hu@intel.com>
2024-12-27 09:40:29 +08:00
binbin Deng
796ee571a5
[NPU doc] Update verified platforms ( #12621 )
2024-12-26 17:39:13 +08:00
Ruonan Wang
bbdbbb0d88
[NPU] Compatible with other third-party models like auto-round ( #12620 )
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* support third party model
* simplify code
* fix sty;e
* fix sym int4 GW
* code refactor
* fix
2024-12-26 17:25:18 +08:00
Yishuo Wang
a9abde0b5d
support passing attn_scale to sdpa ( #12619 )
2024-12-26 16:58:09 +08:00
Shaojun Liu
40a7d2b4f0
Consolidated C-Eval Benchmark Guide for Single-GPU and Multi-GPU Environments ( #12618 )
...
* run c-eval on multi-GPUs
* Update README.md
2024-12-26 15:23:32 +08:00
Zijie Li
ccc4055058
[NPU] Update prompt format for baichuan2 ( #12615 )
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* Update baichuan2.py
* style fix
2024-12-26 11:41:37 +08:00
Yishuo Wang
1604b4ead8
small fix ( #12616 )
2024-12-26 11:35:12 +08:00
