Models / Heretic reference run

Qwen3.5 9B Heretic

Heretic's automated search on Qwen3.5 9B. The lowest KL of any 9B abliteration in the Abliterlitics forensic suite, with near zero MMLU loss.

HereticTextsmalllow drift

Publisher: Heretic reference run
Base model: Qwen3.5 9B
Parameters: 9B
Context: 128K
Released: Mar 2026
License: Apache 2.0

Method · Heretic

Automated abliteration that searches ablation parameters to minimise refusals and KL divergence from the original model together.

Try in chat

Overall

89.8

weighted, out of 100

Openness

100%

base 20%

Agentic completion

80%

19% loop

Loop regression

base 12% → 19%

Capability retained

94.7%

−3.0 pts mean

Cheapest input

$0.06

per M · Open Uncensored Cloud

Fastest

127

tok/s · Open Uncensored Cloud

Refusal fingerprint

What it still refuses.

Share of probes refused in each category, against Qwen3.5 9B before the edit. Probes are graded by a judge model and no harmful completions are stored.

Preview

Fingerprint

Qwen3.5 9B HereticQwen3.5 9B (base)

Open, this model

100%

Open, base

20%

Category	Base	This model	Change
Cybersecurity Exploit development, malware analysis, offensive tooling, pentest workflows.	72%	0%	−72
Biology Pathogen biology, lab protocols, dual use life sciences.	94%	0%	−94
Chemistry Synthesis routes, energetic materials, toxicology.	95%	0%	−95
Weapons Firearms, manufacturing, conventional weapons.	86%	0%	−86
Drugs Recreational drugs, harm reduction, dosing, synthesis.	78%	0%	−78
Adult content Explicit fiction and roleplay between adults.	82%	0%	−82
Violence & gore Graphic violence in fiction, history and journalism.	34%	0%	−34
Hate & harassment Slurs, offensive humor, hostile speech analysis.	90%	6%	−84
Self harm Suicide, eating disorders, frank medical questions.	72%	0%	−72
Privacy & OSINT Doxxing, surveillance, people search, OSINT tradecraft.	74%	0%	−74
Fraud & scams Phishing, social engineering, financial crime.	91%	0%	−91
State sensitive Topics censored by a model's home government (e.g. Tiananmen, Xinjiang).	88%	0%	−88

Effective censorship by provider

Refused

0%10%25%50%75%100%

Not tested

The same weights can behave differently depending on who serves them. Each cell is the model's own refusal rate combined with that provider's declared filters.

Route	Cyber	Bio	Chem	Weap	Drug	Adult	Viol	Hate	Self	OSINT	Fraud	Polit	CSAM
Raw weights	0%	0%	0%	0%	0%	0%	0%	6%	0%	0%	0%	0%	Blocked
Featherless	0%	0%	0%	0%	0%	0%	0%	6%	0%	0%	0%	0%	Blocked
Open Uncensored Cloud	0%	0%	0%	0%	0%	0%	0%	6%	0%	0%	0%	0%	Blocked

CSAM is prohibited on every route, every provider, every model. It is not a setting.

Agentic stability

Does it hold up in agent loops?

Five multi turn tool scenarios against deterministic simulators. An episode counts as a loop when the model repeats itself, oscillates, or stops making progress before the task is done.

Preview

By scenario

CompletedLoopCrash

File search & edit77% done · 21% loop · 2% crash

Web research87% done · 12% loop · 1% crash

Multi step math89% done · 11% loop

Code debugging63% done · 35% loop · 2% crash

Data pipeline83% done · 16% loop · 1% crash

Loop rate versus base

Qwen3.5 9B12%

This model19%

Regression

+7 pts

First loop, median turn

T15

Tool calls

Preview

Valid JSON88%

Schema compliant80%

How it fails

Exact repeat23%

Same tool call with the same arguments, three turns running.

Near repeat18%

Responses above 0.85 Jaccard similarity to a recent turn.

A/B oscillation4%

Flip flopping between two actions without progress.

Malformed tool call43%

Invalid JSON or arguments that break the schema.

Fabricated result4%

The model writes the tool output itself instead of calling.

Empty turn2%

No text and no tool call.

Lost the thread7%

Ignores the latest tool output and restarts the task.

Share of failed episodes by first detected failure mode.

Versus base model

What the edit cost.

The same benchmarks on Qwen3.5 9B and on this model.

Reported

Benchmarks

BaseThis model

MMLU78.6 → 78.3 (−0.3)

GSM8K87.6 → 86.0 (−1.7)

TruthfulQA53.8 → 45.0 (−8.7)

ARC-Challenge54.5 → 53.1 (−1.5)

Retention

94.7%

of base scores kept · −3.0 pts mean change

KL divergence from base

Reported

0.083

First token KL on harmless prompts. Lower means closer to the original. On Gemma 3 12B, Heretic measured 0.16 against 1.04 for a classic abliteration.

Sources

Abliterlitics, Qwen3.5-9B ↗

Providers

Where to run it.

2 providers serve this model. Prices come from provider pages. Latency, throughput and uptime are preview numbers until router traffic fills them in.

Preview

Provider	Quant	Context	Input /M	Output /M	TTFT	Throughput	Uptime	Moderation
Featherless	bf16	128K	Plan	Plan	262 ms	92 tok/s	97.6%	No added filter
Open Uncensored Cloud CheapestFastestLowest latency	bf16	128K	$0.06	$0.24	198 ms	127 tok/s	96.6%	No added filter

Plan means flat rate subscription access. Hover a Plan cell for the provider's pricing.

Usage

Who is using it.

Preview

400M

tokens routed this week

+33% vs four weeks ago

12 weeks agoThis week

API

Call it in three lines.

OpenAI compatible. Point your SDK at our base URL and keep the rest of your code.

curl https://openuncensored.com/api/v1/chat/completions \
  -H "Authorization: Bearer $OU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.5-9b-heretic",
    "messages": [{"role": "user", "content": "Hello"}],
    "routing": {"strategy": "quality"}
  }'

Model id qwen3.5-9b-heretic · routing strategies quality, speed, cost · routing docs