# heterodoxin/AbliteratedOutTheBox > A llama.cpp fork that performs abliteration at inference time: it reads refusal directions from the prompt itself and removes them inside the graph without touching the weights on disk. Runs any supported model with no fine-tuning and no extra files. - Magnitude: 3.4 out of 10 — Early signal - Stars: 131 total · +3 stars measured 2026-10-26, 00:12–02:17 UTC, ≈ 28 by evening - Star trust: star growth looks organic - Category: Language models · Language: C++ · License: MIT · Created: 2026-10-21 · Last push: 2026-10-24 - GitHub: https://github.com/heterodoxin/AbliteratedOutTheBox · Page: https://gitnova.dev/en/r/heterodoxin/AbliteratedOutTheBox ## Useful for - Run a local LLM on CPU or GPU without fine-tuning so it answers flagged prompts - Compare base and abliterated behavior on the same GGUF file - Tune --ff-threshold and --edit-strength for your own prompt set ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 00:12–02:17: 128 → 131 stars (+3). This is the change over that interval. - Estimated end-of-day forecast: about +27 stars, using observed gains and the previous day. - The repository is 5 days old and already has 131 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #154. ## 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: 14 - Issues and pull requests: 0 - Watchers: 3 - Average over the last week: 26 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-21 … 2026-10-26: 16, 17, 15, 56, 27, 3 ## Spotted in now - Top new repositories this week: #154 ## More in this category 1. **lyramakesmusic/neuron-explorer** — 7.7 · Early signal · Language models · Python · +81 stars measured 2026-10-26, 00:11–02:15 UTC, ≈ 713 by evening A steering-first neuron explorer for Qwen3.5-4B: it pushes every MLP neuron up and down on prompts, keeps all rollouts, and lays the results out over a 3D view of the model for interpretability research. Full card: https://gitnova.dev/en/r/lyramakesmusic/neuron-explorer.md 2. **deepseek-ai/DeepInfer** — 6.4 · Cooling · Language models · Python · +70 stars measured 2026-10-26, 00:11–02:16 UTC, ≈ 500 by evening Offline inference framework for running DeepSeek models at large scale: optimized kernels, MoE/Attention parallelism, deterministic sampling and structured outputs. Aimed at teams deploying DeepSeek-V4.1-Flash on NVIDIA SM100 or Huawei… Full card: https://gitnova.dev/en/r/deepseek-ai/DeepInfer.md 3. **slee-persis/GVS5H** — 5.1 · Breakout · Language models · Python · +8 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 119 by evening A training-free method that runs five instances of one LLM in parallel, coordinating through a shared filesystem to solve hard coding problems, evaluated on LiveCodeBench. Full card: https://gitnova.dev/en/r/slee-persis/GVS5H.md 4. **routerhubSI/uncensored-ai-api** — 5.0 · Early signal · Language models · +0 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 102 by evening Gateway to AI APIs and models (Claude, GPT, Gemini, Grok, DeepSeek, GLM, Qwen) with one key, OpenAI- and Anthropic-compatible, offering uncensored and abliterated variants with pay-per-token billing. Full card: https://gitnova.dev/en/r/routerhubSI/uncensored-ai-api.md 5. **Niko1221/Strata** — 4.3 · Steady · Language models · C++ · +74 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 655 by evening A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost. Full card: https://gitnova.dev/en/r/Niko1221/Strata.md --- 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 2026-10-26 02:26 UTC, updated every 30 minutes.