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LLmRa 2.7B by L-R

 »  All LLMs  »  L-R  »  LLmRa 2.7B   URL Share it on

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LLmRa 2.7B is an open-source language model by L-R. Features: 2.7b LLM, VRAM: 10.6GB, Context: 2K, License: other, HF Score: 36.7, LLM Explorer Score: 0.15, Arc: 37, HellaSwag: 60.7, MMLU: 25.6, TruthfulQA: 35.2, WinoGrande: 61.6, GSM8K: 0.3.

  Ai   Autotrain compatible   Conversational   Conversationalai   En   Opt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/L-R/LLmRa-2.7B 

LLmRa 2.7B Benchmarks

ARC: 37.03 vs 96.7 (so35)-61.7%
HellaSwag: 60.65 vs 95.3 (gpt4)-36.4%
MMLU: 25.58 vs 88.3 (so35)-71%
TruthfulQA: 35.23 vs 59 (gpt4)-40.3%
WinoGrande: 61.56 vs 87.5 (gpt4)-29.6%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
LLME Score: 0.15426
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLmRa 2.7B (L-R/LLmRa-2.7B)
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LLmRa 2.7B Parameters and Internals

LLM NameLLmRa 2.7B
Repository 🤗https://huggingface.co/L-R/LLmRa-2.7B 
Model Size2.7b
Required VRAM10.6 GB
Updated2024-09-26
MaintainerL-R
Model Typeopt
Model Files  10.0 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50265
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

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Rank the LLmRa 2.7B 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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