e5ff0cd7ba
Model: huggingFacing/qwen2.5-7b-to-1.5b-liftkd-v8-bilingual100k-v2-continue-e2to4-step3000 Source: Original Platform
27 lines
778 B
Markdown
27 lines
778 B
Markdown
---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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library_name: transformers
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language:
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- en
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- zh
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tags:
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- qwen2.5
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- knowledge-distillation
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- gkd
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- liftkd
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---
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# Qwen2.5 7B to 1.5B LiftKD V8 Bilingual 100K - Epoch 3
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This is the cumulative epoch-3 checkpoint of a Qwen2.5-1.5B-Instruct student distilled from Qwen2.5-7B-Instruct.
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- Method: LiftKD V8, fully on-policy GKD JSD with normalized gap gate
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- Data: 100K bilingual English/Chinese instruction mixture, including 18.75% mathematics
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- Sequence limits: 384 prompt tokens, 512 total tokens, 128 generated tokens
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- Precision: BF16 full-parameter training with DeepSpeed ZeRO-2
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- Global batch size: 64
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- Seed: 10
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The training mixture was internally deduplicated. Evaluation-set decontamination was not performed.
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