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cvgro/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-GGUF

cvgro Qwen 35B GGUF MoE multimodal second-order
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Response includes
  • classification m3
  • files 7
  • hub_downloads_all_time 15,316
  • author_summary 10 models
  • readme_text full
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What "m3" means · taxonomy
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
M1 Direct removal →
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
How we label → About M3 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
15K
660 last 30d - cooling
Likes
7
Model age
4mo ago
created 2026-06-06
Downloads over time
Now15.5K→from1.3K↑1,120%
5596K11.5K16.9K1.3K on Jun 1015.5K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved↓ 749 this lineage
cvgro/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-GGUF↓ 660

Metadata

License
apache-2.0
Tags
transformers gguf qwen3_5_moe qwen3_5 heretic uncensored decensored abliterated mpoa mtp apex quantization

Related

Other by cvgro
Muse-Glimmer-30B-Abliterated-GGUF 1K Muse-Glimmer-30B-Uncensored-Heretic-GGUF 763 Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF 758 Qwen3.8-27B-ABLITERATED-GGUF 401 Qwen3.6-27B-Uncensored-Genesis-MTP-GGUF 289
Same base model
SC117/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-GGUF 71K llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-GGUF 31K llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-GPTQ-Int4 19K mradermacher/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-i1-GGUF 4K mradermacher/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-GGUF 2K
Total size
62.8 GB
Files
7
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-06-06 14:34
Source huggingface.co/cvgro/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-GGUF ↗ Base model llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved →

Files by quantization

F16 1 file 858 MB
mmproj-Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-F16.gguf 858 MB c8e70234 download
Auxiliary files 6 files 62.8 GB
Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-I-Balanced.gguf 24.2 GB dbcceb4f download
Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-I-Quality.gguf 21.9 GB 0a846858 download
Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-I-Compact.gguf 16.6 GB 30890894 download
README.md 20.4 KB 4ced1d7d download
README_zh.md 20.4 KB 02c22c51 download
.gitattributes 1.92 KB 94310efb download

README current version from Hugging Face

library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.6-35B-A3B/blob/main/LICENSE
pipeline_tag: image-text-to-text
tags:

  • qwen3_5_moe
  • qwen3_5
  • heretic
  • uncensored
  • decensored
  • abliterated
  • mpoa
  • mtp
  • apex
  • quantization
    base_model:
  • llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved
APEX MTP Uncensored

Qwen3.6-35B-A3B

English | 📖 中文文档

💡 What is APEX?

These GGUF files are quantized using APEX, a novel MoE-aware mixed-precision quantization technique that outperforms standard quantization methods while being significantly smaller.

APEX beats Q8_0 perplexity at half the size — and even beats F16.

APEX classifies every tensor by its role — routed expert, shared expert, or attention — and applies a layer-wise precision gradient, giving the most sensitive edge layers higher precision and compressing the redundant middle layers more aggressively.

📦 APEX Quantization Tiers
FileSizeProfileBest For
*-APEX-I-Quality.gguf22 GBI-QualityHighest quality, best accuracy
*-APEX-I-Balanced.gguf25 GBI-BalancedBest all-rounder, recommended
*-APEX-I-Compact.gguf17 GBI-CompactBest quality/size ratio
📊 Why APEX?
MethodSizePerplexityHellaSwagSpeed
F1664.6 GB6.53782.5%30.4 t/s
Q8_034.4 GB6.53383.0%52.5 t/s
APEX I-Quality21.3 GB6.55283.5%63.1 t/s
APEX I-Balanced23.6 GB6.54883.0%61.4 t/s
APEX I-Compact16.1 GB6.66981.8%69.8 t/s
APEX Mini12.2 GB7.08881.0%74.4 t/s

Benchmarks on Qwen3.5-35B-A3B, NVIDIA DGX Spark (GB10, 122 GB VRAM).

📐 I-Variant: Diverse Imatrix Calibration

I-variants use a diverse calibration dataset spanning chat, code, reasoning, and tool-calling — no Wikipedia. This produces higher accuracy on real-world benchmarks, lower KL divergence, and tiny perplexity increase on wikitext.

🔓 Original Model

Base: llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved

Decensored version of Qwen/Qwen3.6-35B-A3B, made using Heretic v1.3.0 + MPOA.

88% fewer refusals (10/100 Uncensored vs 83/100 Original) while preserving model quality (0.0015 KL divergence).

⚡ MTP Speculative Decoding

All 20 MTP layers preserved. Use --spec-type draft-mtp --spec-draft-n-max 2 for 20-50% speed boost.

🧠 Model Details
ArchitectureQwen3.5 MoE (Mixture of Experts)
Parameters35B total, 3B active per token
Experts256 routed experts, 8 active per token
Layers40 transformer layers + 1 MTP layer
Context262,144 tokens
DecensoringHeretic v1.3.0 + MPOA (88% fewer refusals, 0.0015 KL)
🚀 Usage

llama.cpp

hf download SC117/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-GGUF --include "*.gguf" --local-dir ./models ./llama-server -m ./models/...APEX-I-Compact.gguf -ngl 99 -ncmoe 16 -c 131072 --spec-type draft-mtp --spec-draft-n-max 2

Ollama

echo 'FROM ./...APEX-I-Compact.gguf' > Modelfile ollama create my-model -f Modelfile && ollama run my-model

🎛️ Recommended Settings
ModeParameters
Thinking (general)temp=1.0, top_p=0.95, top_k=20, pres_penalty=1.5
Thinking (coding)temp=0.6, top_p=0.95, top_k=20
Instruct (general)temp=0.7, top_p=0.8, top_k=20, pres_penalty=1.5
Instruct (reasoning)temp=1.0, top_p=1.0, top_k=40, pres_penalty=2.0

Links

Citation

@misc{qwen36_35b_a3b,
title = {{Qwen3.6-35B-A3B}: Agentic Coding Power, Now Open to All},
url = {https://qwen.ai/blog?id=qwen3.6-35b-a3b},
author = {{Qwen Team}},
month = {April},
year = {2026}
}

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-06-06Duplicate from SC117/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-...736fe0c20.3 KB
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