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Shqiponja 59B V1 by nisten

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Shqiponja 59B V1 Benchmarks

ARC: 70.05 vs 96.7 (so35)-27.6%
HellaSwag: 84.06 vs 95.3 (gpt4)-11.8%
MMLU: 75.54 vs 88.3 (so35)-14.5%
TruthfulQA: 70.43 vs 59 (gpt4)19.4%
WinoGrande: 80.27 vs 87.5 (gpt4)-8.3%
GSM8K: 15.47 vs 96.4 (so35)-84%
LLME Score: 0.20304
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Shqiponja 59B V1 Parameters and Internals

LLM NameShqiponja 59B V1
Repository 🤗https://huggingface.co/nisten/shqiponja-59b-v1 
Base Model(s)  jondurbin/nontoxic-bagel-34b-v0.2   jondurbin/nontoxic-bagel-34b-v0.2
Merged ModelYes
Model Size34b
Required VRAM118 GB
Updated2024-09-07
Maintainernisten
Model Typellama
Model Files  10.0 GB: 1-of-12   9.9 GB: 2-of-12   10.0 GB: 3-of-12   9.8 GB: 4-of-12   9.8 GB: 5-of-12   9.8 GB: 6-of-12   10.0 GB: 7-of-12   9.9 GB: 8-of-12   9.9 GB: 9-of-12   9.8 GB: 10-of-12   9.8 GB: 11-of-12   9.3 GB: 12-of-12
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Shqiponja 59B V1 (nisten/shqiponja-59b-v1)

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Note: green Score (e.g. "73.2") means that the model is better than nisten/shqiponja-59b-v1.

Rank the Shqiponja 59B V1 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  
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Multi-Language Support and Translation  

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Release v2024072803
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