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upvoted 4 articles 4 months ago

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Article

Deriving DPO's Loss

By •

Dec 24, 2024

• 28

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Article

Preference Tuning LLMs with Direct Preference Optimization Methods

By and 4 others •

Jan 18, 2024

• 70

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Article

Fine-tuning SmolLM with Group Relative Policy Optimization (GRPO) by following the Methodologies

By •

Feb 17

• 25

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Article

Proximal Policy Optimization (PPO)

By •

Aug 5, 2022

• 53

upvoted 2 collections 4 months ago

high-quality Chinese training datasets

Collection

a suite of high-quality Chinese datasets, used for pretraining, fine-tuning or preference alignment. And the models trained on these datasets. • 13 items • Updated May 22 • 20

Chinese Tiny LLM

Collection

9 items • Updated Apr 5, 2024 • 8

upvoted an article about 1 year ago

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Article

SmolLM - blazingly fast and remarkably powerful

By and 2 others •

Jul 16, 2024

• 411

upvoted a paper over 1 year ago

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Paper • 2402.04291 • Published Feb 6, 2024 • 51

upvoted 2 collections over 1 year ago

Function Calling v3

Collection

Models fine-tuned for function-calling • 14 items • Updated Apr 27, 2024 • 21

Mixtral HQQ Quantized Models

Collection

4-bit and 2-bit Mixtral models quantized using https://github.com/mobiusml/hqq • 9 items • Updated Mar 29, 2024 • 14

upvoted a paper over 1 year ago

PaLI-3 Vision Language Models: Smaller, Faster, Stronger

Paper • 2310.09199 • Published Oct 13, 2023 • 29

upvoted a paper almost 2 years ago

Zephyr: Direct Distillation of LM Alignment

Paper • 2310.16944 • Published Oct 25, 2023 • 122