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siddharthmb
/
2026.RA.Fairness-GRPO-v2-Adapters
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1
Reinforcement Learning
PEFT
Safetensors
siddharthmb/2026.RA.Fairness-GRPO-v2
siddharthmb/2026.RA.Fairness-GRPO
lora
negotiation
multi-agent
grpo
fairness
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Instructions to use siddharthmb/2026.RA.Fairness-GRPO-v2-Adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
Libraries
PEFT
How to use siddharthmb/2026.RA.Fairness-GRPO-v2-Adapters with PEFT:
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Google Colab
Kaggle
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2026.RA.Fairness-GRPO-v2-Adapters
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lam05_checkpoint-15
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siddharthmb
v2 fairness-GRPO LoRA adapters: full lambda-frontier (lam1/lam05/lam0 ladders) + card
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COMPLETE
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v2 fairness-GRPO LoRA adapters: full lambda-frontier (lam1/lam05/lam0 ladders) + card
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README.md
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v2 fairness-GRPO LoRA adapters: full lambda-frontier (lam1/lam05/lam0 ladders) + card
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adapter_config.json
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v2 fairness-GRPO LoRA adapters: full lambda-frontier (lam1/lam05/lam0 ladders) + card
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adapter_model.safetensors
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v2 fairness-GRPO LoRA adapters: full lambda-frontier (lam1/lam05/lam0 ladders) + card
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chat_template.jinja
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v2 fairness-GRPO LoRA adapters: full lambda-frontier (lam1/lam05/lam0 ladders) + card
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tokenizer.json
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v2 fairness-GRPO LoRA adapters: full lambda-frontier (lam1/lam05/lam0 ladders) + card
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tokenizer_config.json
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v2 fairness-GRPO LoRA adapters: full lambda-frontier (lam1/lam05/lam0 ladders) + card
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