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QwQ 32B Preview Jackterated by JackCloudman

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  Arxiv:2407.10671   Abliterated   Autotrain compatible Base model:finetune:qwen/qwq-3... Base model:qwen/qwq-32b-previe...   Chat   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/JackCloudman/QwQ-32B-Preview-jackterated 

QwQ 32B Preview Jackterated Benchmarks

LLME Score: 0.31032
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ 32B Preview Jackterated (JackCloudman/QwQ-32B-Preview-jackterated)

QwQ 32B Preview Jackterated Parameters and Internals

LLM NameQwQ 32B Preview Jackterated
Repository 🤗https://huggingface.co/JackCloudman/QwQ-32B-Preview-jackterated 
Base Model(s)  QwQ 32B Preview   Qwen/QwQ-32B-Preview
Model Size32b
Required VRAM65.8 GB
Updated2024-12-06
MaintainerJackCloudman
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.9 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   2.1 GB: 14-of-14
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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EVA Instruct QwQ 32B Preview128K / 65.8 GB503
Note: green Score (e.g. "73.2") means that the model is better than JackCloudman/QwQ-32B-Preview-jackterated.

Rank the QwQ 32B Preview Jackterated 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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