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Cataloged from SC117/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved-APEX-GGUF
All models by SC117 βEnglish | π δΈζζζ‘£
Optimized quantization strategy with improved imatrix calibration. File sizes reduced while maintaining quality:
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 β and even beats F16.
APEX classifies every tensor by its role β routed expert, shared expert, or attention β and applies a layer-wise precision gradient, giving the most sensitive edge layers higher precision and compressing the redundant middle layers more aggressively.
Benchmarks on Qwen3.5-35B-A3B, NVIDIA DGX Spark (GB10, 122 GB VRAM).
I-variants use a diverse calibration dataset spanning chat, code, reasoning, and tool-calling β no Wikipedia. This produces higher accuracy on real-world benchmarks, lower KL divergence, and tiny perplexity increase on wikitext.
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).
All 20 MTP layers preserved. Use --spec-type draft-mtp --spec-draft-n-max 2 for 20-50% speed boost.
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
@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}
}