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Exil01/Huihui-Qwen3.5-27B-Opus-abliterated-YaRN-1M

Exil01 Qwen 27B GGUF 262K ctx
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  • classification m8
  • files 6
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  • author_summary 7 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
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Downloads · lifetime
3K
209 last 30d - cooling
Likes
0
Model age
6mo ago
created 2026-03-16
Downloads over time
Now2.6K→from838↑215%
7481.4K2.1K2.8K838 on Mar 182.6K on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 days

Metadata

License
apache-2.0
Quantizations
BF16
Tags
gguf qwen3_5 yarn long-context reasoning opus abliterated text-generation en arxiv:2309.00071 license:apache-2.0 endpoints_compatible

Related

Total size
50.1 GB
Files
6
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-03-16 21:07

Files by quantization

BF16 2 files 51.0 GB
Huihui-Qwen3.5-27B-Opus-abliterated-BF16.gguf 50.1 GB 01fbe0b4 download
mmproj-BF16.gguf 888 MB 44bc072d download
Auxiliary files 4 files 12.2 MB
tokenizer.json 12.2 MB 5f9e4d49 download
config.json 4.04 KB bde2be7f download
.gitattributes 1.67 KB 4161a546 download
README.md 976 B da3c3aec download

README current version from Hugging Face


license: apache-2.0
language: en
pipeline_tag: text-generation
tags: [yarn, long-context, reasoning, opus, abliterated]

Huihui-Qwen3.5-27B-Opus-abliterated-YaRN-1M

Abliterated Qwen3.5 27B Opus with YaRN extension and reasoning, supporting up to 1M context.

Model Details

  • Base: HuihuiAI/Huihui-Qwen3.5-27B-Opus-abliterated
  • Context: 262K active / 1M max (YaRN)
  • Quantization: BF16
  • VRAM: ~60GB (262K) / ~90GB (1M)
  • Reasoning: Enabled (Chain-of-Thought)

Usage

262K Context (80GB GPU)

1M Context (100GB+ GPU or Q8_0 model)

With Vision (mmproj)

Files

  • GGUF: 53.8GB (BF16)
  • mmproj: 931MB (BF16, vision)
  • Tokenizer: 13MB

Performance

  • 262K context: ~60GB VRAM (BF16 cache)
  • 1M context: ~90GB VRAM (BF16 cache)
  • Max output: 81,920 tokens
  • Temperature: 0.6 (reasoning optimized)

Credits

  • Base: HuihuiAI (abliterated Opus)
  • Original: Qwen Team
  • YaRN: arxiv.org/abs/2309.00071

README history 2 versions

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

  1. 2026-03-16Upload README.md with huggingface_hubf698807976 B
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  2. 2026-03-16Upload README.md with huggingface_hub890170e679 B
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