Text Generation
PEFT
Safetensors
English
lora
trl
nyt-connections
puzzle-solving
qlora
grpo
reinforcement-learning
rlvr
reward-over-optimization
negative-results
conversational
Eval Results (legacy)
Instructions to use jacksonlukas/connections-rl-grpo-7b-seed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jacksonlukas/connections-rl-grpo-7b-seed2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "jacksonlukas/connections-rl-grpo-7b-seed2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87c12ebff3737e46b7b1f296065273d3a30808a83b738de1f1ebe0a8b0b2f4d0
- Size of remote file:
- 7.57 kB
- SHA256:
- 04374bbf56978eb99e398f6071f8a07bc61269ea26620c8e10090ffd36b61c62
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