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Shqiponja 59B V1 by nisten

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Shqiponja 59B V1 Benchmarks

ARC: 70.05-27.3%
HellaSwag: 84.06-11.8%
MMLU: 75.54-12.7%
TruthfulQA: 70.4319.4%
WinoGrande: 80.27-8.3%
GSM8K: 15.47-83.2%
nn.n% — How the model compares to the GPT-4.

Shqiponja 59B V1 Parameters and Internals

LLM NameShqiponja 59B V1
RepositoryOpen on 🤗 
Base Model(s)  jondurbin/nontoxic-bagel-34b-v0.2   jondurbin/nontoxic-bagel-34b-v0.2
Merged ModelYes
Model Size34b
Required VRAM118 GB
Updated2024-07-27
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)

Best Alternatives to Shqiponja 59B V1

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Yi 34B 200K0.3195K / 68.9 GB5247313
Smaug 34B V0.10.3195K / 69.2 GB318558
Yi 34B 200K AEZAKMI V20.3195K / 69.2 GB94812
Smaug 34B V0.1 ExPO0.3195K / 69.2 GB20850
Faro Yi 34B0.3195K / 69.2 GB27486
Bagel DPO 34B V0.50.3195K / 68.7 GB186117
Nous Capybara 34B0.3195K / 68.9 GB6259242
Yi 34B 200K HESOYAM 09050.3195K / 69.2 GB2400
Bagel DPO 34B V0.20.3195K / 69.2 GB276997
34B Beta0.3195K / 69.2 GB122159
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  
Code Generation  
Multi-Language Support and Translation  

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Release v2024072501
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