0dAI 7.5B V2 4bpw by 0dAI

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  Autotrain compatible   Endpoints compatible   Es   Mistral   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/0dAI/0dAI-7.5B-v2-4bpw 

0dAI 7.5B V2 4bpw Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
0dAI 7.5B V2 4bpw (0dAI/0dAI-7.5B-v2-4bpw)

0dAI 7.5B V2 4bpw Parameters and Internals

Model Type 
cybersecurity, pentesting, malware development
Use Cases 
Areas:
cybersecurity
Primary Use Cases:
pentesting, malware development
Limitations:
Military use, Cybercrime
Additional Notes 
Dataset and training methods are private. Simplified version, larger model with autonomous pentesting available on the website.
Supported Languages 
es (Spanish)
Training Details 
Methodology:
fine-tuning
Context Length:
16000
Hardware Used:
16 RTX A5000
Input Output 
Performance Tips:
May have dependency issues with exllama, check GitHub issues section
LLM Name0dAI 7.5B V2 4bpw
Repository ๐Ÿค—https://huggingface.co/0dAI/0dAI-7.5B-v2-4bpw 
Model Size7.5b
Required VRAM3.8 GB
Updated2025-02-05
Maintainer0dAI
Model Typemistral
Model Files  3.8 GB
Supported Languageses
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32001
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than 0dAI/0dAI-7.5B-v2-4bpw.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227