ECeLLM L by NingLab

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  Autotrain compatible   Conversational   Dataset:ninglab/ecinstruct   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

ECeLLM L Benchmarks

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

ECeLLM L Parameters and Internals

LLM NameECeLLM L
Repository ๐Ÿค—https://huggingface.co/NingLab/eCeLLM-L 
Model Size13b
Required VRAM26 GB
Updated2024-10-22
MaintainerNingLab
Model Typellama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.2 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licensecc-by-4.0
Context Length4096
Model Max Length4096
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
ECeLLM L (NingLab/eCeLLM-L)

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

Rank the ECeLLM L 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 v2024072803