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Huihui-Qwen3.5-27B-Opus-abliterated-YaRN-1M – AI Model by Exil01 | AlphaNeural AI
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Exil01
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Huihui-Qwen3.5-27B-Opus-abliterated-YaRN-1M
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gguf
qwen3_5
yarn
long-context
reasoning
opus
abliterated
text-generation
en
2309.00071
apache-2.0
endpoints_compatible
us
conversational
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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
