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ECeLLM S by NingLab

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ECeLLM S is an open-source language model by NingLab. Features: 2.8b LLM, VRAM: 5.6GB, Context: 2K, License: cc-by-4.0, LLM Explorer Score: 0.12.

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

ECeLLM S Benchmarks

LLME Score: 0.11743
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)
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ECeLLM S Parameters and Internals

Model Type 
instruction-tuned LLM
LLM NameECeLLM S
Repository 🤗https://huggingface.co/NingLab/eCeLLM-S 
Model Size2.8b
Required VRAM5.6 GB
Updated2026-05-19
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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MFANN3b Rebase128K / 11.1 GB70
Note: green Score (e.g. "73.2") means that the model is better than NingLab/eCeLLM-S.

Rank the ECeLLM S 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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