WizardLM 2 7B Abliterated by fearlessdots

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  Arxiv:2304.12244   Arxiv:2306.08568   Arxiv:2308.09583   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

WizardLM 2 7B Abliterated Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardLM 2 7B Abliterated (fearlessdots/WizardLM-2-7B-abliterated)

WizardLM 2 7B Abliterated Parameters and Internals

Model Type 
Large Language Model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Chatbots, Multilingual tasks, Reasoning, Agents
Primary Use Cases:
Complex chat, Multilingual, Reasoning and agent performance
Additional Notes 
This model uses the prompt format from Vicuna and supports multi-turn conversation.
Supported Languages 
Multilingual (Yes)
Input Output 
Input Format:
Vicuna prompt format
Accepted Modalities:
text
Output Format:
text
LLM NameWizardLM 2 7B Abliterated
Repository ๐Ÿค—https://huggingface.co/fearlessdots/WizardLM-2-7B-abliterated 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerfearlessdots
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than fearlessdots/WizardLM-2-7B-abliterated.

Rank the WizardLM 2 7B Abliterated 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 v20241227