Instructions to use ProbioticFarmer/Qwen3.8-27B-BarronPolyStep-RealCoder-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ProbioticFarmer/Qwen3.8-27B-BarronPolyStep-RealCoder-v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.8-27B") model = PeftModel.from_pretrained(base_model, "ProbioticFarmer/Qwen3.8-27B-BarronPolyStep-RealCoder-v3") - Notebooks
- Google Colab
- Kaggle
Commit History
8 days ago
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9 days ago
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Publish remediated strict Train-40-isolated 240x checkpoint (max_abs_diff=0.0 noise invariance) & A100-80GB zero-helper-leakage <think> evaluation results (93.39% MBPP / 78.57% MBPP+ / 79.88%-83.54% HE+)
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Add clean 240x <think> Chain-of-Thought evaluation results (HumanEval+ 83.54%, MBPP 95.24%, MBPP+ 79.89%, BCB-Hard 30.41%)
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Update to clean 240x Barron-PolyStep RealCoder-v3 (20,400 steps / 3.30M vertex evals, zero leakage)
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10 days ago
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Update model card: 280x RealCoder-v5 (24,000 steps + 40x DeepSeek Distillation), HE+ 79.27%, MBPP+ 77.78%, BCB-Hard 29.73%
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