Field	Correct value
Model family	Qwen3.6-35B-A3B
Architecture	`qwen3_5_moe` / GGUF `qwen35`
Parameters	35B total · 3B activated
Native context	262,144
Task	Image-Text-to-Text + text generation
Main quantizations	MXFP4_MOE + Q4_K_M
Vision projector	`mmproj-Q36-35B-A3B-Opus4.7-Abliterated-Heretic-OBLITERATUS-Nuclear-Hermes-Agent-MTP-Vision-F16.gguf`
Runtime	llama.cpp

The Hub may round the GGUF tensor-derived size to 36B. The old 0.4B / clip display came from the Vision projector being mistaken for the main GGUF.

Files

Qwen3.6-35B-A3B-Opus4.7-Abliterated-Heretic-OBLITERATUS-Nuclear-Hermes-Agent-MTP-Vision-MXFP4_MOE.gguf — MXFP4_MOE main model
Qwen3.6-35B-A3B-Opus4.7-Abliterated-Heretic-OBLITERATUS-Nuclear-Hermes-Agent-MTP-Vision-Q4_K_M.gguf — Q4_K_M main model
mmproj-Q36-35B-A3B-Opus4.7-Abliterated-Heretic-OBLITERATUS-Nuclear-Hermes-Agent-MTP-Vision-F16.gguf — exact F16 Vision projector
chat_template.jinja
config.json
generation_config.json
processor_config.json
tokenizer_config.json
tokenizer.json
RUNTIME-MANIFEST.json

Vision

powershell

llama-server.exe `
  -m ".\Qwen3.6-35B-A3B-Opus4.7-Abliterated-Heretic-OBLITERATUS-Nuclear-Hermes-Agent-MTP-Vision-Q4_K_M.gguf" `
  --mmproj ".\mmproj-Q36-35B-A3B-Opus4.7-Abliterated-Heretic-OBLITERATUS-Nuclear-Hermes-Agent-MTP-Vision-F16.gguf" `
  --chat-template-file ".\chat_template.jinja"

Model lineage

text

Qwen/Qwen3.6-35B-A3B
  -> lordx64 reasoning-distilled derivative
  -> huihui-ai abliterated derivative
  -> custom fused-MoE-aware Heretic stage
  -> OBLITERATUS Nuclear
  -> Hermes Function Calling + Agent/coding/terminal/file/repo/multi-tool SFT
  -> PEFT / LoRA merge
  -> Q36

“Opus 4.7” describes the inherited reasoning-distillation lineage; this repository does not contain the proprietary Claude model. Abliteration, Heretic and OBLITERATUS Nuclear are separate stages.

Training / integrity

Item	Result
SFT train examples	23,220
SFT validation examples	1,179
Total SFT examples	24,399
Parser errors	0
Protected Vision tensors	333
Protected MTP tensors	19
Protected-tensor hash mismatch	0
Final BF16 reload	PASS
Finite forward	PASS
GGUF text	PASS
GGUF Vision	PASS
GGUF MTP	PASS

Build: NVIDIA B300 · Ubuntu 24.04.3 · Unsloth 2026.8.19 · Transformers 5.5.0 · Torch 2.8.0+cu128

Reproducibility: llama.cpp f280b26983ad0fdb705a0d9ebf0503e76f2899b0 · FreeToken bd372b630a028e3faa51f4ab0ef6a98c2f2de501

Known gaps

Combined Vision + MTP in one invocation is not yet claimed.
Vision and MTP were validated separately; combined Vision+MTP remains pending.
Final FreeToken serving validation remains pending.
Native context claim is 262,144 tokens; no 1M-context claim is made.

Benchmarks

CURRENT SNAPSHOT — IFEval: CUSTOM clearly ahead · Output Integrity: TIE · HumanEval+: TIE 5/5 vs 5/5 · MBPP+: HUIHUI ahead 5/5 vs 4/5 · MATH-500: CUSTOM completion-robustness advantage · MuSR: HUIHUI robustness advantage · LiveCodeBench v6 Sample-9: NEXT

Results

Benchmark	CUSTOM	Huihui	Result
IFEval strict prompt	9/10	6/10	CUSTOM
IFEval strict instruction	17/18 · 94.4%	12/18 · 66.7%	CUSTOM
IFEval technical completion	9/10	7/10	CUSTOM
Output Integrity Battery-5	5/5	5/5	Tie
HumanEval+ Sample-5	5/5	5/5	Tie
MBPP+ Sample-5	4/5	5/5	HUIHUI
MMLU-Pro smoke	2/3	2/3	Tie
GSM8K smoke	3/3	3/3	Tie
BBH smoke	3/3	3/3	Tie
MATH Level-5 first frozen run	2/3 technical · 2/2 scorable correct	2/3 technical · 2/2 scorable correct	crossed truncations

Diagnostic observations

MATH-500: CUSTOM completed 3/3 while HUIHUI looped to the output ceiling on one task after internally reaching the correct result. This is retained as a CUSTOM completion/reasoning-robustness advantage, not a mathematical-accuracy claim. Comparative MATH-500 is excluded.

MuSR: CUSTOM repeatedly looped/truncated on the team task while HUIHUI completed it. Comparative MuSR is excluded; this remains a HUIHUI robustness advantage / CUSTOM weakness.

Benchmark method

Ollama /api/chat · ctx 16,384 · max generation 8,192 · temperature 0 · seed 42 · thinking enabled · exactly 1 generation per model/task · 0 benchmark retries.

Technical completion and correctness are separate. Thinking never counts as the final answer. Infrastructure failures are not treated as model-quality failures. Saved model outputs are not regenerated because an evaluator needs fixing. Benchmark wall time is not used as a performance score.

Active benchmark plan

General/reasoning: MMLU-Pro Matrix-14 · BBH Matrix-23 · ARC-Challenge-10 · GSM8K-10 · MATH Level-5
Instruction: IFEval-10 · Output Integrity-5
Coding: HumanEval+-5 · MBPP+-5 · LiveCodeBench v6-9
Tools/agents: JSON Schema-5 · Hermes ToolPerf-5 · AgentBench FC-5 · tau3-5
Vision: MMMU-6 · MMMU-Pro-6 · MathVista-5 · ChartQA-5
Long context: RULER-5 · InfiniteBench-5
Alignment: Refusal Matrix-10

LiveCodeBench v6 Sample-9 — next

leetcode/3765 · leetcode/3779 · atcoder/abc395_f · leetcode/3811 · atcoder/arc191_d · atcoder/arc196_b · atcoder/abc396_f · atcoder/abc399_b · atcoder/arc190_c

Dataset revision 0fe84c3912ea0c4d4a78037083943e8f0c4dd505 · Evaluator commit 28fef95ea8c9f7a547c8329f2cd3d32b92c1fa24

Performance phase

Prompt processing 512/2048/4096 · generation 128/256/512 · TTFT 512/2048 · decode 4K/8K · peak RAM · peak VRAM · load time.

Deterministic compact comparison runs; not official full-leaderboard scores.

License / attribution

Apache-2.0 repository metadata applies. Upstream attribution includes Qwen Team, lordx64, huihui-ai, Nous Research / Hermes, Unsloth, llama.cpp and FreeToken.

🔗 Successor collection

Explore the later Qwen3.6-35B v2 editions.

oktayd/Q36-35B-A3B-Opus4.7-Ablit-Heretic-OBLITERATUS-Hermes-MTP-Vision-Llama

Q36 · Qwen3.6 35B-A3B · llama.cpp

Overview