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tanliboy
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  • https://github.com/tanliboy

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continued pretraining
  • Simple and Scalable Strategies to Continually Pre-train Large Language Models

    Paper • 2403.08763 • Published Mar 13, 2024 • 52

models 32

tanliboy/Qwen2.5-14B-Instruct-1M-AWQ

Updated Feb 6

tanliboy/DeepSeek-R1-Distill-Qwen-32B-AWQ

Updated Feb 6 • 6

tanliboy/qwen2.5-7b-sft

Updated Oct 3, 2024 • 2 • 1

tanliboy/llama-3.2-3b-dpo-2

Text Generation • Updated Oct 1, 2024 • 2

tanliboy/llama-3.2-3b-sft-2

Text Generation • Updated Oct 1, 2024 • 3 • 1

tanliboy/llama-3.2-3b-dpo

Text Generation • Updated Sep 30, 2024 • 2

tanliboy/llama-3.2-3b-sft

Text Generation • Updated Sep 28, 2024 • 2

tanliboy/llama-3.2-3b

Text Generation • Updated Sep 27, 2024 • 2

tanliboy/phi-2-2b-sft

Updated Sep 26, 2024

tanliboy/lambda-qwen2.5-32b-dpo-test

Text Generation • Updated Sep 22, 2024 • 77 • 5

datasets 3

tanliboy/OpenHermes-2.5-reformat

Viewer • Updated Sep 26, 2024 • 1M • 65

tanliboy/OpenHermes-2.5-reformat-test

Viewer • Updated Sep 26, 2024 • 1M • 26

tanliboy/orca_dpo_pairs

Viewer • Updated Sep 21, 2024 • 12.9k • 52
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