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EVA Abliterated Qwen2.5 7B by nbeerbower

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EVA Abliterated Qwen2.5 7B is an open-source language model by nbeerbower. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2306.01708   Ara Base model:eva-unit-01/eva-qwe... Base model:huihui-ai/qwen2.5-7...   Base model:qwen/qwen2.5-7b   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/nbeerbower/EVA-abliterated-Qwen2.5-7B 

EVA Abliterated Qwen2.5 7B Benchmarks

LLME Score: 0.17902
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EVA Abliterated Qwen2.5 7B (nbeerbower/EVA-abliterated-Qwen2.5-7B)
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EVA Abliterated Qwen2.5 7B Parameters and Internals

LLM NameEVA Abliterated Qwen2.5 7B
Repository 🤗https://huggingface.co/nbeerbower/EVA-abliterated-Qwen2.5-7B 
Base Model(s)  EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   Qwen/Qwen2.5-7B   huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   Qwen/Qwen2.5-7B   huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-03-29
Maintainernbeerbower
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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

Rank the EVA Abliterated Qwen2.5 7B 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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