Flint Uncensored Cuts Refusals For Local Coding

// 1h agoMODEL RELEASE

Flint Uncensored Cuts Refusals For Local Coding

Flint Uncensored is a community-made GGUF quant of electroglyph’s abliterated Flint, bringing Recursive’s 39.8B-parameter local coding model to Mac-friendly runtimes. Its model card reports 7 refusals in 100 prompts versus 98 for the original, though the result remains creator-reported.

// ANALYSIS

This is a compelling local-coding fork, but its main advantage is behavioral freedom rather than new capability.

–Abliteration removes refusal behavior; it does not add knowledge or improve core coding skill.
–Flint’s mixture-of-experts design activates roughly 2.5B parameters per token, supporting fast local inference on Apple Silicon.
–The reported 7/100 refusal rate is promising, but developers should run their own coding and regression tests.
–Lower guardrails make the model useful for security research, while increasing the need for responsible deployment and output review.

// TAGS

flint-uncensoredllmopen-weightsquantizationai-codinginferencelocal-firstopen-source

DISCOVERED

1h ago

2026-10-26

PUBLISHED

1h ago

2026-10-26

RELEVANCE

9/ 10

AUTHOR

0x0SojalSec

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