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anirudhmamgain/latest_phi2_grpo_combined_rewards_strict
latest_phi2_grpo_combined_rewards_strict is a machine learning model from anirudhmamgain. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is a fine-tuned version of Phi-2 using GRPO with combined reward signals (factual accuracy + format adherence + chain-of-thought strictness).
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From the Hugging Face model README
This is a fine-tuned version of Phi-2 using GRPO with combined reward signals (factual accuracy + format adherence + chain-of-thought strictness).
from transformers import AutoTokenizer, AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("anirudhmamgain/latest_phi2_grpo_combined_rewards_strict", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("anirudhmamgain/latest_phi2_grpo_combined_rewards_strict", trust_remote_code=True)