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L3 8B Everything COT by FPHam

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L3 8B Everything COT Benchmarks

LLME Score: 0.22974
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

L3 8B Everything COT Parameters and Internals

Model Type 
self-reflecting, general model
Additional Notes 
Everything COT is an investigative self-reflecting general model that uses Chain of Thought for everything. It carries an internal dialogue and often casts doubts over uncertain topics.
LLM NameL3 8B Everything COT
Repository 🤗https://huggingface.co/FPHam/L3-8B-Everything-COT 
Model Size8b
Required VRAM16.1 GB
Updated2024-11-21
MaintainerFPHam
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
L3 8B Everything COT (FPHam/L3-8B-Everything-COT)

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Note: green Score (e.g. "73.2") means that the model is better than FPHam/L3-8B-Everything-COT.

Rank the L3 8B Everything COT 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 v20241110
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