Tanuki 8x8B DPO V1.0 by weblab-GENIAC

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Tanuki 8x8B DPO V1.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tanuki 8x8B DPO V1.0 Parameters and Internals

LLM NameTanuki 8x8B DPO V1.0
Repository ๐Ÿค—https://huggingface.co/weblab-GENIAC/Tanuki-8x8B-dpo-v1.0 
Model Size47b
Required VRAM94.1 GB
Updated2024-09-08
Maintainerweblab-GENIAC
Model TypeTanuki
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   4.9 GB: 3-of-19   5.0 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.7 GB: 19-of-19
Supported Languagesja en
Model ArchitectureTanukiForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size65024
Torch Data Typebfloat16
Tanuki 8x8B DPO V1.0 (weblab-GENIAC/Tanuki-8x8B-dpo-v1.0)

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803