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ThalisAI/
phi-4-heretic

Name: phi-4-heretic
Availability: InStock

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phi-4-heretic

Abliterated (uncensored) version of microsoft/phi-4, created using Heretic and converted to GGUF.

Abliteration Quality

Metric	Value
Refusals	4/100
KL Divergence	0.0499
Rounds	2

Lower refusals = fewer refused prompts. Lower KL divergence = closer to original model behavior.

Available Quantizations

Quantization	File	Size
Q8_0	phi-4-heretic-Q8_0.gguf	14.51 GB
Q6_K	phi-4-heretic-Q6_K.gguf	11.20 GB
Q4_K_M	phi-4-heretic-Q4_K_M.gguf	8.43 GB

Usage with Ollama

bash

ollama run hf.co/ThalisAI/phi-4-heretic:Q8_0
ollama run hf.co/ThalisAI/phi-4-heretic:Q6_K
ollama run hf.co/ThalisAI/phi-4-heretic:Q4_K_M

Full Precision Weights

This repo contains GGUF quantizations only. For full-precision bf16 weights, see the original model at microsoft/phi-4.

About

This model was processed by the Apostate automated abliteration pipeline:

The source model was loaded in bf16
Heretic's optimization-based abliteration was applied to remove refusal behavior
The merged model was converted to GGUF format using llama.cpp
Multiple quantization levels were generated

The abliteration process uses directional ablation to remove the model's refusal directions while minimizing KL divergence from the original model's behavior on harmless prompts.