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0dAI 8x7b 0761 by 0dAI

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Model Card on HF 🤗: https://huggingface.co/0dAI/0dAI-8x7b-0761 

0dAI 8x7b 0761 Benchmarks

LLME Score: 0.19091
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
0dAI 8x7b 0761 (0dAI/0dAI-8x7b-0761)

0dAI 8x7b 0761 Parameters and Internals

Model Type 
cybersecurity, pentesting, malware development
Use Cases 
Areas:
cybersecurity, educational
Applications:
pentesting, malware development
Limitations:
Not suited for military applications or illegal activities.
Additional Notes 
Model does not have function calling capabilities by itself. Training dataset and methods are private.
Training Details 
Methodology:
fine-tuning
Context Length:
16000
Hardware Used:
50 RTX A5000 GPUs
Input Output 
Input Format:
Textual inputs
Accepted Modalities:
Text
Output Format:
Textual outputs
LLM Name0dAI 8x7b 0761
Repository 🤗https://huggingface.co/0dAI/0dAI-8x7b-0761 
Required VRAM46.9 GB
Updated2025-02-22
Maintainer0dAI
Model Typemixtral
Model Files  8.6 GB: 1-of-6   8.6 GB: 2-of-6   8.6 GB: 3-of-6   8.6 GB: 4-of-6   8.6 GB: 5-of-6   3.9 GB: 6-of-6
Model ArchitectureMixtralForCausalLM
Context Length16768
Model Max Length16768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than 0dAI/0dAI-8x7b-0761.

Rank the 0dAI 8x7b 0761 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
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