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Evathene V1.0 by sophosympatheia

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:eva-unit-01/eva-qwe... Base model:nexusflow/athene-v2...   Conversational   Endpoints compatible   Not-for-all-audiences   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sophosympatheia/Evathene-v1.0 

Evathene V1.0 Benchmarks

LLME Score: 0.20141
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Evathene V1.0 (sophosympatheia/Evathene-v1.0)
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Evathene V1.0 Parameters and Internals

LLM NameEvathene V1.0
Repository 🤗https://huggingface.co/sophosympatheia/Evathene-v1.0 
Base Model(s)  Athene V2 Chat   EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1   Nexusflow/Athene-V2-Chat   EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
Merged ModelYes
Model Size72b
Required VRAM146.1 GB
Updated2025-08-21
Maintainersophosympatheia
Model Typeqwen2
Model Files  5.0 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   5.0 GB: 30-of-31   0.3 GB: 31-of-31
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
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 sophosympatheia/Evathene-v1.0.

Rank the Evathene V1.0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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