← back to vectors · latest commit 2025-10-18

WizardLM-2-22B-RP-control-vectors

gghfez ·V1 ·21 files ·apache-2.0
Author's description Source: Hugging Face · gghfez/WizardLM-2-22B-RP-control-vectors ↗

gghfez/WizardLM-2-22B-RP-control-vectors

Creative Writing control-vectors for gghfez/WizardLM-2-22B-RP

Usage example

llama.cpp

llama-server --model  wizardlm-2-22b-rp-q6_k.gguf [other CLI arguments] \
    --control-vector  WizardLM-2-22B-RP-character_focus__debias.gguf \
    --control-vector  WizardLM-2-22B-RP-character_focus__narration.gguf

Exllamav2

Clone this repo into the same directory as the exl2 model but with -vectors appended:
`huggingface-cli download gghfez/WizardLM-2-22B-RP-control-vectors --local-dir WizardLM-2-22B-RP-exl2-vectors

So you should have something like
/models/WizardLM-2-22B-RP-exl2
/models/WizardLM-2-22B-RP-exl2-vectors

Follow instructions the instructions below for TabbyAPI or Exui:

TabbyAPI Fork

  1. git clone https://github.com/gapeleon/tabbyAPI-control-vectors
  2. cd tabbyAPI-control-vectors
  3. ./start.sh #let it build the venv, etc then exit
  4. source venv/bin/activate #to enter the venv
  5. pip install gguf #to read the vectors
  6. cp config_sample_control-vectors.yml config.yml
  7. set the model_dir and model_name in config.yml
  8. tweak the control-vectors how you want them
  9. ./start.sh

Exui Fork

  1. git clone https://github.com/gapeleon/exui-control-vectors
  2. Set it up / install it the same as regular exui
  3. pip install gguf if you don't have it already
  4. Start exui python server.py
  5. Configure the model as usual.
  6. Tick "Enable control vectors" and wait for them to appear in the UI
  7. Enable the vectors + direction + scaling you want, then hit "Load Model"

Based off Version v3.0 of creative-writing-control-vectors-v3.0.

See here for more info about control-vectors creative-writing-control-vectors-v3.0

README history (3 versions)
  1. 2025-10-18Update README.md83a18f72 KB
    Loading...
  2. 2024-12-31Update README.mdcad13af2 KB
    Loading...
  3. 2024-12-31Create README.md9dc92b32 KB
    Loading...
Abliteration catalog analysis
Vector classifier · v1 (classified 2026-10-30)
Method
V1: PCA on contrastive pairsZou et al. 2023, Representation Engineering; Vogel 2024, repeng
Confidence
70%
Types
behavior 8meta 7style 6
File count
21 vectors, grouped into 7 sets below
How we classify →

Vectors in this repo

Commit history

  1. 2025-10-18Update README.md83a18f7
  2. 2024-12-31Upload folder using huggingface_hubb7d7b89
  3. 2024-12-31Upload folder using huggingface_hub8dea405
  4. 2024-12-31Update README.mdcad13af
  5. 2024-12-31Create README.md9dc92b3
  6. 2024-12-31Upload folder using huggingface_hubd50554b
  7. 2024-12-31Upload folder using huggingface_hub332c175
  8. 2024-12-31initial commit26f9606
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration