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temaq-abliterated

PyPIInfrastructure

PulseGate's liveness check found it on 6 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 6 Oct 2026. How this is checked

temaq-abliterated is an MIT-licensed Python package that implements the SCAPE algorithm for exploratory uncensoring of transformer language-model weights. It supports structured initialization, verification, checkpoint resumption, and Hugging Face Hub uploads for developers and researchers experimenting with local models.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Modifying language-model weights to explore uncensored model behavior without manually implementing the SCAPE workflow.

Inferred · not functionally tested

Audience: machine-learning researchers and developers working with open-weight language models

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

temaq-abliterated is a Fine-tuning & training project. Inferred · not functionally tested: It focuses on modifying language-model weights to explore uncensored model behavior without manually implementing the SCAPE workflow. Inferred · not functionally tested: temaq-abliterated is an open-source project aimed at machine-learning researchers and developers working with open-weight language models. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind temaq-abliterated is ek15072809, and it first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are SCAPE algorithm, weight uncensoring, and seed-grid initialization. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • SCAPE algorithm
  • Weight uncensoring
  • Seed-grid initialization
  • Kernel calibration
  • First-token verification
  • Checkpoint resume

Topics: Inferred · not functionally tested

Tags
llm-weightsmodel-uncensoringtransformer-modelshuggingface-hub
AI capabilities
Text
Inference: LocalWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
API
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed6 Oct · 06:27 UTC
    temaq-abliterated seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about temaq-abliterated

What does temaq-abliterated do?
Inferred · not functionally tested: Temaq-abliterated focuses on modifying language-model weights to explore uncensored model behavior without manually implementing the SCAPE workflow. It is catalogued under Fine-tuning & training on PulseGate.
Who should use temaq-abliterated?
Inferred · not functionally tested: temaq-abliterated is an open-source project built for machine-learning researchers and developers working with open-weight language models.
Is temaq-abliterated free?
Basis unknown · not verified: Yes — temaq-abliterated is open source under the MIT license and free to use.
What platforms does temaq-abliterated run on?
Basis unknown · not verified: temaq-abliterated runs on the command line. It can also be self-hosted.
Is temaq-abliterated still active?
PulseGate's liveness check found it on 6 Oct 2026. Its GitHub repository shows 2 commits in the last 90 days.
What are alternatives to temaq-abliterated?
Similar projects tracked by PulseGate include heulistic, m37labs-slm-forge, and taskdistill.heulisticm37labs-slm-forgetaskdistill
Who develops temaq-abliterated?
temaq-abliterated is developed by ek15072809.
When did temaq-abliterated launch?
temaq-abliterated first shipped in 2026.

Also in Fine-tuning & training

Same category — not a similarity match