# elder-plinius/OBLITERATUS > A toolkit for researching and removing refusal behaviors in LLMs via abliteration: it locates and surgically removes internal refusal representations without retraining. Includes a Gradio UI and Python API. - Magnitude: 2.0 out of 10 — Steady - Stars: 8,549 total · +6 stars today, ≈ 13 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: AGPL-3.0 · Created: 2026-03-03 · Last push: 2026-09-21 - GitHub: https://github.com/elder-plinius/OBLITERATUS · Homepage: https://huggingface.co/spaces/pliny-the-prompter/ · Page: https://gitnova.dev/en/r/elder-plinius/OBLITERATUS ## Useful for - Remove refusal mechanisms from a local model via the obliterate CLI command - Visualize which transformer layers contain the refusal directions - Compare model quality and coherence before and after abliteration in the Gradio UI ## Why it’s here - 6 stars so far today, about 13 expected by the end of the day. - GitHub Trending Python today: #17, +23 stars. ## 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: 1,519 - Issues and pull requests: 214 - Watchers: 79 - Average over the last week: 14 per day - Usual pace: 17 per day - Stars in the last hour (measured): 1 - Latest release: v0.1.3 (2026-08-23) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-02 … 2026-10-01: 20, 22, 21, 6, 11, 12, 5, 12, 17, 7, 4, 20, 5, 7, 9, 39, 56, 11, 6, 14, 10, 14, 10, 10, 6, 4, 12, 31, 24, 6 ## Spotted in now - GitHub Trending Python today: #17, +23 stars ## More in this category 1. **Niko1221/Strata** — 8.3 · Breakout · Language models · C++ · +512 stars today, ≈ 983 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 2. **VectifyAI/PageIndex** — 7.1 · Breakout · Language models · Python · +96 stars today, ≈ 248 by evening A vectorless RAG engine that builds a hierarchical tree index of a document and retrieves by LLM reasoning over that tree, the way a human navigates a report. Aimed at long professional PDFs such as financial, legal and technical documents. Full card: https://gitnova.dev/en/r/VectifyAI/PageIndex.md 3. **ninjahawk/livenerf** — 6.7 · Early signal · Language models · Python · +76 stars today, ≈ 185 by evening A benchmark for tracking whether a frontier model quietly degrades after release: it runs a frozen question panel daily and statistically measures drift in accuracy and token counts against the launch-week baseline. Full card: https://gitnova.dev/en/r/ninjahawk/livenerf.md 4. **deepseek-ai/DeepGEMM-Ascend** — 6.0 · Early signal · Language models · C++ · +19 stars today, ≈ 68 by evening A port of DeepGEMM to Huawei Ascend: GEMM kernels (BF16, FP8, FP4, MQA logits, MegaMoE) with an API compatible with DeepGEMM, targeting peak NPU performance. Full card: https://gitnova.dev/en/r/deepseek-ai/DeepGEMM-Ascend.md 5. **PSRben/VisionHOPE** — 5.8 · Early signal · Language models · Python · +93 stars today, ≈ 170 by evening PyTorch implementation of VisionHOPE, a visual backbone based on self-referential nested learning (SRNL) for image classification, detection, and segmentation. Full card: https://gitnova.dev/en/r/PSRben/VisionHOPE.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 2026-10-01 13:52 UTC, updated every 30 minutes.