This model is intended for research and evaluation of the BrainAlign stage-2 fine-tuning branch C. It is suitable for standard Hugging Face transformers loading and for leaderboard-style offline evaluation where a full model repository is required instead of a standalone LoRA adapter.

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Export time: 2026-05-14T19:55:09
Model kind: merged_lora
Base model: Qwen/Qwen2.5-1.5B-Instruct
Checkpoint choice: best_by_retrieval
Projector branch: C
Stage-1 head: mean5_pca1024_contrastive_seed42

License

This merged checkpoint is distributed under apache-2.0, following the declared license metadata in this repository. Please also review the upstream base model card for any additional usage notes from Qwen/Qwen2.5-1.5B-Instruct.

Limitations

This repository documents packaging and export details for evaluation. It does not claim additional safety alignment or benchmark superiority beyond the fine-tuning performed in the BrainAlign project. Downstream behavior should be validated on the target tasks before real use.

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python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("C")
tokenizer = AutoTokenizer.from_pretrained("C")

stech2333/brainalign-qwen2.5-1.5b-C

C

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stech2333/
brainalign-qwen2.5-1.5b-C