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Qwen2.5 7B Instruct Abliterated V3 by huihui-ai

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  Abliterated   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3 

Qwen2.5 7B Instruct Abliterated V3 Benchmarks

LLME Score: 0.26476
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2.5 7B Instruct Abliterated V3 Parameters and Internals

LLM NameQwen2.5 7B Instruct Abliterated V3
Repository 🤗https://huggingface.co/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2024-12-04
Maintainerhuihui-ai
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 7B Instruct Abliterated V3 (huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3)

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Note: green Score (e.g. "73.2") means that the model is better than huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3.

Rank the Qwen2.5 7B Instruct Abliterated V3 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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