Instructions to use ArthT/qwen14b-bnon-mixedmed-seed1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ArthT/qwen14b-bnon-mixedmed-seed1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "ArthT/qwen14b-bnon-mixedmed-seed1") - Notebooks
- Google Colab
- Kaggle
Model card: final checkpoint promoted to root
Browse files
README.md
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Standard EM battery, gpt-4o-2024-08-06 judge: **EM 8.56%** (aligned < 30 and coherent > 50), mean coherence 92.6, mean alignment 78.5, n = 397 scored responses.
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**Note on this run's weights.** The trainer for this run wrote to an output directory shared with other jobs, so its
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## Load
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Standard EM battery, gpt-4o-2024-08-06 judge: **EM 8.56%** (aligned < 30 and coherent > 50), mean coherence 92.6, mean alignment 78.5, n = 397 scored responses.
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**Note on this run's weights.** The trainer for this run wrote to an output directory shared with other jobs, so its final push failed and the Hub received a snapshot of that directory instead. The run's own last checkpoint, saved at the final step of the one-epoch schedule (`checkpoint-397`), survived under its folder and was copied to the root on 2026-08-30, so this repo loads like every other. The snapshot folders were removed after each was confirmed to exist at the root of its own repo.
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## Load
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