# lordx64/phantom-kv

> Removes refusal behavior from language models by grafting a small trained KV-cache bank into the context, without editing weights or projecting activations, and is fully reversible.

- Magnitude: 5.1 out of 10 — Early signal
- Stars: 107 total · +54 stars today, ≈ 71 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: MIT · Created: 2026-09-17 · Last push: 2026-09-21
- GitHub: https://github.com/lordx64/phantom-kv · Page: https://gitnova.dev/en/r/lordx64/phantom-kv

## Useful for

- Swap a graft in and out per request to toggle refusal behavior without reloading the model.
- Train a domain-specific graft (e.g. DFIR or cyber) that answers prompts the base model refuses.
- Compare KL divergence and refusal rates between base, abliterated, and grafted models.

## Why it’s here

- 54 stars so far today, about 71 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 5 days old and already has 107 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #190.
- About 21 forks a day — people are taking the code.
- Recent forks include notable developers: @pedramamini (742 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 17
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 21 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 3
- Latest release: v0.1.0 (2026-09-17)

## Stars per day, last 10 days (oldest → newest, today is partial)

2026-09-13 … 2026-09-22: 0, 0, 0, 0, 0, 0, 0, 0, 53, 54

## Spotted in now

- Top new repositories this week: #190

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-22 17:57 UTC, updated every 30 minutes.