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Lord-H4D3ZS/Qwen3.6-35B-A3B-abliterated-ROCmFP4

Lord-H4D3ZS Qwen 35B GGUF MoE second-order 262K ctx
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  • classification m8
  • files 3
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  • author_summary 2 models
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
432
126 last 30d - stable
Likes
0
Model age
8w ago
created 2026-08-13
Downloads over time
Now506→from294↑72%
283365446527294 on Aug 19506 on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 days

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
gguf rocmfpx rocmfp4 mtp text-generation conversational base_model:wangzhang/Qwen3.6-35B-A3B-abliterated-v2 base_model:quantized:wangzhang/Qwen3.6-35B-A3B-abliterated-v2 license:apache-2.0 endpoints_compatible region:us

Related

Total size
17.4 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-13 16:49

Files by quantization

Auxiliary files 3 files 17.4 GB
qwen3.6-35b-v2-ROCMFP4.gguf 17.4 GB a073b894 download
.gitattributes 1.55 KB fe9ecabf download
README.md 704 B 1b8e6b21 download

README current version from Hugging Face


license: apache-2.0
base_model: wangzhang/Qwen3.6-35B-A3B-abliterated-v2
tags:

  • gguf
  • rocmfpx
  • rocmfp4
  • mtp
  • text-generation
  • conversational
    pipeline_tag: text-generation

Qwen3.6-35B-A3B Abliterated (ROCmFP4)

This is an abliterated (uncensored) Qwen 3.6 35B MoE model converted to GGUF and quantized to ROCmFP4 (Q4_0_ROCMFP4_FAST_COHERENT) using the ROCmFPX toolchain.

Optimized for AMD Radeon GPUs (e.g., RX 9060 XT 16GB / RX 7900 XT 20GB) via Vulkan or ROCm backends with Multi-Token Prediction (MTP) speculative decoding enabled.

How to Run with llama-server

llama-server.exe -m qwen3.6-35b-v2-ROCMFP4.gguf --spec-type draft-mtp -c 32768 --port 8080

README history 1 version

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

  1. 2026-08-13Create README.md74120b5704 B
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