[llm]update peft docs #9655
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[llm]update peft docs #9655
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## develop #9655 +/- ##
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+ Coverage 52.21% 52.80% +0.58%
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Files 721 718 -3
Lines 114885 112225 -2660
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- Hits 59990 59259 -731
+ Misses 54895 52966 -1929 ☔ View full report in Codecov by Sentry. |
wawltor
reviewed
Dec 19, 2024
| @@ -7,7 +7,7 @@ | |||
| - 易用并行策略：支持纯数据并行（Data Parallelism）、分组参数切片的数据并行（Sharding Parallelism）、张量模型并行（Tensor Parallelism）、流水线模型并行（Pipeline Parallelism）、序列并行(Sequence parallelism)。 | |||
| - 多种精度训练：16/32bit 全量精调、4/8/16bit LoRA 精调、混合量化 LoRA 精调。 | |||
| - 性能极致优化：FlashAttention-2、FlashMask、Greedy Zero Padding。 | |||
| - 先进精调策略：LoRA+、PiSSA、rsLoRA、NEFTune、VeRA。 | |||
| - 先进精调策略：LoRA+、PiSSA、rsLoRA、NEFTune、VeRA、MoRA、ReFT、MoSLoRA。 | |||
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这块我看还没有开源模型适配示例，等 @greycooker 适配后由他加入吧
| @@ -150,7 +150,7 @@ python run_finetune.py ./config/llama/lora_argument.json | |||
| python run_finetune.py ./config/llama/pt_argument.json | |||
| ``` | |||
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| 更多大模型精调分布式使用文档、训练细节和效果请参见[大模型精调教程](./docs/finetune.md)。 | |||
| 除了 LoRA、Prefix Tuning 外，还支持 LoKr、VeRA、MoRA、ReFT、rsLoRA、LoRA+、PiSSA、MoSLoRA 等多种精调算法，更多大模型精调使用文档、训练细节和效果请参见[大模型精调教程](./docs/finetune.md)。 | |||
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优化PEFT相关文档