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Prox Phi 3 Mini 128K by openvoid

 »  All LLMs  »  openvoid  »  Prox Phi 3 Mini 128K   URL Share it on

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  Autotrain compatible   Code   Conversational   Custom code   Cybersecurity   En   Endpoints compatible   Hacking   Instruct   Penetration testing   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/openvoid/Prox-Phi-3-mini-128k 

Prox Phi 3 Mini 128K Benchmarks

LLME Score: 0.19125
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Prox Phi 3 Mini 128K (openvoid/Prox-Phi-3-mini-128k)

Prox Phi 3 Mini 128K Parameters and Internals

Model Type 
code generation, cybersecurity, penetration testing, hacking
Use Cases 
Primary Use Cases:
Code generation, Code explanation and documentation, Answering questions on hacking techniques and cybersecurity, Providing coding project insights
Limitations:
Review and verify outputs carefully, especially for critical applications. Expert validation is recommended to avoid biased or inconsistent content.
Supported Languages 
en ()
Training Details 
Data Sources:
proprietary dataset from OpenVoid
Methodology:
fine-tuning
LLM NameProx Phi 3 Mini 128K
Repository 🤗https://huggingface.co/openvoid/Prox-Phi-3-mini-128k 
Model Size3.8b
Required VRAM7.7 GB
Updated2025-02-22
Maintaineropenvoid
Model Typephi3
Instruction-BasedYes
Model Files  2.0 GB: 1-of-4   1.9 GB: 2-of-4   2.0 GB: 3-of-4   1.8 GB: 4-of-4
Supported Languagesen
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than openvoid/Prox-Phi-3-mini-128k.

Rank the Prox Phi 3 Mini 128K 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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