---
library_name: transformers
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-1.5B-Instruct
license: apache-2.0
tags:
- transformers
- safetensors
- text-generation
- qwen2
- lora
- merged-adapter
- brainalign
---

# C

## Summary

This model is the `C` BrainAlign stage-2 LoRA checkpoint (`best_by_retrieval`) merged into the full base model `Qwen/Qwen2.5-1.5B-Instruct`.

The folder is saved in standard Hugging Face format so it can be uploaded directly for Open LLM Leaderboard v2 evaluation.

## Model Details

- Repository: `stech2333/brainalign-qwen2.5-1.5b-C`
- Architecture: `Qwen2ForCausalLM`
- Base model: `Qwen/Qwen2.5-1.5B-Instruct`
- Format: merged full-weights Hugging Face Transformers checkpoint
- Precision for leaderboard submission: `bfloat16`

## Intended Use

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.

## Export Metadata

- 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.

## Loading

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

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