ECeLLM S by NingLab

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  Autotrain compatible   Custom code   Dataset:ninglab/ecinstruct   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/NingLab/eCeLLM-S 

ECeLLM S Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECeLLM S (NingLab/eCeLLM-S)

ECeLLM S Parameters and Internals

Model Type 
instruction-tuned LLM
LLM NameECeLLM S
Repository ๐Ÿค—https://huggingface.co/NingLab/eCeLLM-S 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-02-15
MaintainerNingLab
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitecturePhiForCausalLM
Licensecc-by-4.0
Context Length2048
Model Max Length2048
Transformers Version4.38.0.dev0
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than NingLab/eCeLLM-S.

Rank the ECeLLM S 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