初始化项目，由ModelHub XC社区提供模型

Model: huggingFacing/qwen2.5-7b-to-1.5b-liftkd-v8-bilingual100k-v2-continue-e2to4-final
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+library_name: transformers
+language:
+- en
+- zh
+tags:
+- qwen2.5
+- knowledge-distillation
+- gkd
+- liftkd
+---
+
+# Qwen2.5 7B to 1.5B LiftKD V8 Bilingual 100K - Epoch 4
+
+This is the cumulative epoch-4 checkpoint of a Qwen2.5-1.5B-Instruct student distilled from Qwen2.5-7B-Instruct.
+
+- Method: LiftKD V8, fully on-policy GKD JSD with normalized gap gate
+- Data: 100K bilingual English/Chinese instruction mixture, including 18.75% mathematics
+- Sequence limits: 384 prompt tokens, 512 total tokens, 128 generated tokens
+- Precision: BF16 full-parameter training with DeepSpeed ZeRO-2
+- Global batch size: 64
+- Seed: 10
+
+The training mixture was internally deduplicated. Evaluation-set decontamination was not performed.