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LLongMA 3B LIMA by KnutJaegersberg

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  Autotrain compatible   Custom code   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

LLongMA 3B LIMA Benchmarks

ARC: 39.08 vs 96.7 (so35)-59.6%
HellaSwag: 67.15 vs 95.3 (gpt4)-29.5%
MMLU: 26.43 vs 88.3 (so35)-70.1%
TruthfulQA: 34.71 vs 59 (gpt4)-41.2%
WinoGrande: 63.38 vs 87.5 (gpt4)-27.6%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
LLME Score: 0.21193
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

LLongMA 3B LIMA Parameters and Internals

LLM NameLLongMA 3B LIMA
Repository 🤗https://huggingface.co/KnutJaegersberg/LLongMA-3b-LIMA 
Model Size3b
Required VRAM13.7 GB
Updated2024-09-07
MaintainerKnutJaegersberg
Model Typellama
Model Files  10.0 GB: 1-of-2   3.7 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32
LLongMA 3B LIMA (KnutJaegersberg/LLongMA-3b-LIMA)

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Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/LLongMA-3b-LIMA.

Rank the LLongMA 3B LIMA 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 v2024072803
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