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Phi 2 Snippets Logdetective by fedora-copr

 »  All LLMs  »  fedora-copr  »  Phi 2 Snippets Logdetective   URL Share it on

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  Autotrain compatible   Code Dataset:fedora-copr/autoannota...   En   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/fedora-copr/phi-2-snippets-logdetective 

Phi 2 Snippets Logdetective Benchmarks

LLME Score: 0.1944
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Snippets Logdetective (fedora-copr/phi-2-snippets-logdetective)

Phi 2 Snippets Logdetective Parameters and Internals

Model Type 
text-generation
Additional Notes 
More Information Needed
Supported Languages 
English (N/A)
Training Details 
Data Sources:
: fedora-copr/autoannotated_snippets_mistral
Data Volume:
[More Information Needed]
Methodology:
[More Information Needed]
Training Time:
[More Information Needed]
Hardware Used:
1 GeForce RTX 4090
Model Architecture:
phi-2
Responsible Ai Considerations 
Fairness:
[More Information Needed]
Transparency:
[More Information Needed]
Accountability:
[More Information Needed]
Mitigation Strategies:
[More Information Needed]
LLM NamePhi 2 Snippets Logdetective
Repository 🤗https://huggingface.co/fedora-copr/phi-2-snippets-logdetective 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-02-22
Maintainerfedora-copr
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassCodeGenTokenizer
Padding Token<PAD>
Vocabulary Size51200
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than fedora-copr/phi-2-snippets-logdetective.

Rank the Phi 2 Snippets Logdetective 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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