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Sky T1 32B Flash Abliterated Merge1 by DataSoul

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Sky T1 32B Flash Abliterated Merge1 is an open-source language model by DataSoul. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2306.01708 Base model:novasky-ai/sky-t1-3... Base model:novasky-ai/sky-t1-3...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DataSoul/Sky-T1-32B-Flash-abliterated-merge1 

Sky T1 32B Flash Abliterated Merge1 Benchmarks

LLME Score: 0.17899
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sky T1 32B Flash Abliterated Merge1 (DataSoul/Sky-T1-32B-Flash-abliterated-merge1)
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Sky T1 32B Flash Abliterated Merge1 Parameters and Internals

LLM NameSky T1 32B Flash Abliterated Merge1
Repository 🤗https://huggingface.co/DataSoul/Sky-T1-32B-Flash-abliterated-merge1 
Base Model(s)  Sky T1 32B Preview   Sky T1 32B Preview Abliterated   Sky T1 32B Flash   NovaSky-AI/Sky-T1-32B-Preview   huihui-ai/Sky-T1-32B-Preview-abliterated   NovaSky-AI/Sky-T1-32B-Flash
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2026-05-24
MaintainerDataSoul
Model Typeqwen2
Model Files  5.0 GB: 1-of-14   5.0 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB6417
Ultiima 32B128K / 65.8 GB187
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB344
Note: green Score (e.g. "73.2") means that the model is better than DataSoul/Sky-T1-32B-Flash-abliterated-merge1.

Rank the Sky T1 32B Flash Abliterated Merge1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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