The fynnsu-based vllm/plugins/amygdala/ scaffold was superseded by the readout infrastructure landed as vllm commit d3e74edf8500 (vllm/model_executor/layers/readout.py + vllm/v1/worker/readout_manager.py). Training code remained useful so it moved here rather than being deleted. train_steering_vectors.py: CAA diff-of-means trainer that produces the [n_concepts, hidden_size] per-layer projection matrices the runner loads via VLLM_READOUT_VECTORS. extract_training_pairs.py: memory graph -> JSONL converter using per-emotion score thresholds from the subconscious agents' tag lines. Co-Authored-By: Proof of Concept <poc@bcachefs.org>
6 lines
217 B
Python
6 lines
217 B
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
"""Training utilities for amygdala steering vectors.
|
|
|
|
See README.md in this directory for overall design.
|
|
"""
|