README.md

---
library_name: peft
base_model:
- Qwen/Qwen3-8B
- Qwen/Qwen3-14B
tags:
- peft
- lora
- continual-learning
- alignment
- ai-safety
- model-trajectories
---

# Direction, Not Distance? — Full Continual-Learning Trajectories

This repository contains the complete phase-by-phase LoRA checkpoint
trajectories produced for the Direction, Not Distance? experiments.

These are research artifacts, not standalone language models.

## Contents

### Main experiment

Qwen3-8B:
- seeds 42–48
- benign and alignment-conflicting continual learning
- unconstrained
- global projection
- coordinate mortality
- phases 0–6

Qwen3-14B:
- seeds 42–44
- benign and alignment-conflicting continual learning
- unconstrained
- global projection
- coordinate mortality
- phases 0–6

### Targeted follow-up

Qwen3-8B:
- seeds 42–48
- benign and alignment-conflicting continual learning
- norm-matched shrinkage
- phases 0–6

## Why release intermediate checkpoints?

The complete trajectories permit independent researchers to:

- reproduce phase-level preference-drift analyses;
- apply alternative behavioral evaluators;
- conduct new mechanistic-interpretability analyses;
- study when coordinate-level interference emerges;
- test alternative probes and alignment metrics;
- independently audit trajectory-level claims.

## Related resources

Code, results, figures and experimental manifests:

https://github.com/SubramanyamSahoo/Direction-Not-Distance

Final/preference-tuned LoRA checkpoints:

https://huggingface.co/SahoobhAI/Direction-Not-Distance-LoRA

## Integrity

`FILE_MANIFEST.txt` lists all uploaded files.

`SHA256SUMS.txt` provides SHA-256 hashes for integrity verification.

## Important caveat

The reported likelihood-based preference improvements do not consistently
transfer to the independent ArmoRM behavioral evaluator. These checkpoints
should not be interpreted as providing a universal behavioral alignment
guarantee.