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Ennodata 7B by Enno-Ai

 »  All LLMs  »  Enno-Ai  »  Ennodata 7B   URL Share it on

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  Autotrain compatible   Endpoints compatible   Ggml   Llama   Pytorch   Q4   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Enno-Ai/ennodata-7b 

Ennodata 7B Benchmarks

ARC: 51.02 vs 96.7 (so35)-47.2%
HellaSwag: 77.62 vs 95.3 (gpt4)-18.6%
MMLU: 33.95 vs 88.3 (so35)-61.6%
TruthfulQA: 33.53 vs 59 (gpt4)-43.2%
WinoGrande: 70.96 vs 87.5 (gpt4)-18.9%
GSM8K: 3.71 vs 96.4 (so35)-96.2%
LLME Score: 0.16402
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ennodata 7B (Enno-Ai/ennodata-7b)

Ennodata 7B Parameters and Internals

LLM NameEnnodata 7B
Repository 🤗https://huggingface.co/Enno-Ai/ennodata-7b 
Model Size7b
Required VRAM13.5 GB
Updated2024-12-04
MaintainerEnno-Ai
Model Typellama
Model Files  3.8 GB   5.1 GB   7.2 GB   10.0 GB: 1-of-2   3.5 GB: 2-of-2
GGML QuantizationYes
Quantization Typeggml|q4
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Enno-Ai/ennodata-7b.

Rank the Ennodata 7B 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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Release v20241217
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