[assets] update wechat (#8385)

README.md

@@ -5,7 +5,7 @@
 [![GitHub contributors](https://img.shields.io/github/contributors/hiyouga/LLaMA-Factory?color=orange)](https://github.com/hiyouga/LLaMA-Factory/graphs/contributors)
 [![GitHub workflow](https://github.com/hiyouga/LLaMA-Factory/actions/workflows/tests.yml/badge.svg)](https://github.com/hiyouga/LLaMA-Factory/actions/workflows/tests.yml)
 [![PyPI](https://img.shields.io/pypi/v/llamafactory)](https://pypi.org/project/llamafactory/)
-[![Citation](https://img.shields.io/badge/citation-561-green)](https://scholar.google.com/scholar?cites=12620864006390196564)
+[![Citation](https://img.shields.io/badge/citation-614-green)](https://scholar.google.com/scholar?cites=12620864006390196564)
 [![Docker Pulls](https://img.shields.io/docker/pulls/hiyouga/llamafactory)](https://hub.docker.com/r/hiyouga/llamafactory/tags)
 
 [![Twitter](https://img.shields.io/twitter/follow/llamafactory_ai)](https://twitter.com/llamafactory_ai)
@@ -55,7 +55,7 @@ Choose your path:
 - **Colab (free)**: https://colab.research.google.com/drive/1eRTPn37ltBbYsISy9Aw2NuI2Aq5CQrD9?usp=sharing
 - **Local machine**: Please refer to [usage](#getting-started)
 - **PAI-DSW (free trial)**: https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory
-- **Alaya NeW (cloud GPU deal)**: https://docs.alayanew.com/docs/documents/newActivities/llamafactory/?utm_source=LLaMA-Factory
+- **Alaya NeW (cloud GPU deal)**: https://docs.alayanew.com/docs/documents/useGuide/LLaMAFactory/mutiple/?utm_source=LLaMA-Factory
 
 > [!NOTE]
 > Except for the above links, all other websites are unauthorized third-party websites. Please carefully use them.

README_zh.md

@@ -5,7 +5,7 @@
 [![GitHub contributors](https://img.shields.io/github/contributors/hiyouga/LLaMA-Factory?color=orange)](https://github.com/hiyouga/LLaMA-Factory/graphs/contributors)
 [![GitHub workflow](https://github.com/hiyouga/LLaMA-Factory/actions/workflows/tests.yml/badge.svg)](https://github.com/hiyouga/LLaMA-Factory/actions/workflows/tests.yml)
 [![PyPI](https://img.shields.io/pypi/v/llamafactory)](https://pypi.org/project/llamafactory/)
-[![Citation](https://img.shields.io/badge/citation-561-green)](https://scholar.google.com/scholar?cites=12620864006390196564)
+[![Citation](https://img.shields.io/badge/citation-614-green)](https://scholar.google.com/scholar?cites=12620864006390196564)
 [![Docker Pulls](https://img.shields.io/docker/pulls/hiyouga/llamafactory)](https://hub.docker.com/r/hiyouga/llamafactory/tags)
 
 [![Twitter](https://img.shields.io/twitter/follow/llamafactory_ai)](https://twitter.com/llamafactory_ai)
@@ -41,7 +41,7 @@
 
 </div>
 
-👋 加入我们的[微信群](assets/wechat.jpg)、[NPU 用户群](assets/wechat_npu.jpg)或 [Alaya NeW 算力优惠群](assets/wechat_alaya.png)。
+👋 加入我们的[微信群](assets/wechat.jpg)、[NPU 用户群](assets/wechat_npu.jpg)或 [九章智算云算力优惠群](assets/wechat_alaya.png)。
 
 \[ [English](README.md) | 中文 \]
 
@@ -57,7 +57,7 @@ https://github.com/user-attachments/assets/43b700c6-a178-41db-b1f8-8190a5d3fcfc
 - **Colab（免费）**：https://colab.research.google.com/drive/1d5KQtbemerlSDSxZIfAaWXhKr30QypiK?usp=sharing
 - **本地机器**：请见[如何使用](#如何使用)
 - **PAI-DSW（免费试用）**：https://gallery.pai-ml.com/#/preview/deepLearning/nlp/llama_factory
-- **Alaya NeW（算力优惠活动）**：https://docs.alayanew.com/docs/documents/newActivities/llamafactory/?utm_source=LLaMA-Factory
+- **九章智算云（算力优惠活动）**：https://docs.alayanew.com/docs/documents/useGuide/LLaMAFactory/mutiple/?utm_source=LLaMA-Factory
 
 > [!NOTE]
 > 除上述链接以外的其他网站均为未经许可的第三方网站，请小心甄别。

src/llamafactory/hparams/finetuning_args.py

@@ -204,7 +204,12 @@ class RLHFArguments:
     )
     ld_alpha: Optional[float] = field(
         default=None,
-        metadata={"help": "α parameter from the LD-DPO paper, which controls the weighting of the verbose token log-probabilities in responses"},
+        metadata={
+            "help": (
+                "Alpha parameter from the LD-DPO paper, which controls the weighting of"
+                " the verbose token log-probabilities in responses."
+            )
+        },
     )
 
 

src/llamafactory/train/dpo/trainer.py

@@ -188,8 +188,9 @@ class CustomDPOTrainer(DPOTrainer):
             batch = nested_detach(batch, clone=True)  # avoid error
 
         all_logits: torch.Tensor = model(**batch, return_dict=True, use_cache=False).logits.to(torch.float32)
-        all_logps, valid_length = get_batch_logps(logits=all_logits, labels=batch["labels"],
-                                                  ld_alpha=(self.ld_alpha if not is_ref_model else None))
+        all_logps, valid_length = get_batch_logps(
+            logits=all_logits, labels=batch["labels"], ld_alpha=(self.ld_alpha if not is_ref_model else None)
+        )
         if self.loss_type in ["ipo", "orpo", "simpo"]:
             all_logps = all_logps / valid_length
 
@@ -219,8 +220,9 @@ class CustomDPOTrainer(DPOTrainer):
             ref_context = nullcontext()
 
         with torch.no_grad(), ref_context:
-            reference_chosen_logps, reference_rejected_logps, *_ = self.concatenated_forward(ref_model, batch,
-                                                                                             is_ref_model=True)
+            reference_chosen_logps, reference_rejected_logps, *_ = self.concatenated_forward(
+                ref_model, batch, is_ref_model=True
+            )
 
         return reference_chosen_logps, reference_rejected_logps
 

src/llamafactory/train/trainer_utils.py

@@ -585,7 +585,10 @@ def create_custom_scheduler(
 
 
 def get_batch_logps(
-    logits: "torch.Tensor", labels: "torch.Tensor", label_pad_token_id: int = IGNORE_INDEX, ld_alpha: Optional[float] = None
+    logits: "torch.Tensor",
+    labels: "torch.Tensor",
+    label_pad_token_id: int = IGNORE_INDEX,
+    ld_alpha: Optional[float] = None,
 ) -> tuple["torch.Tensor", "torch.Tensor"]:
     r"""Compute the log probabilities of the given labels under the given logits.