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Tanuki 8B DPO V1.0 by weblab-GENIAC

 »  All LLMs  »  weblab-GENIAC  »  Tanuki 8B DPO V1.0   URL Share it on

  2526   
  Autotrain compatible   Conversational   En   Endpoints compatible   Ja   Japanese   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/weblab-GENIAC/Tanuki-8B-dpo-v1.0 

Tanuki 8B DPO V1.0 Benchmarks

LLME Score: 0.24955
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tanuki 8B DPO V1.0 (weblab-GENIAC/Tanuki-8B-dpo-v1.0)

Tanuki 8B DPO V1.0 Parameters and Internals

Model Type 
Large Language Model, Text Generation
Additional Notes 
Multiple quantized versions like AWQ 4bit, GPTQ 4bit, and 8bit, etc.
Supported Languages 
languages_supported_and_proficiency_levels (Japanese and English)
Training Details 
Data Volume:
1.3 trillion tokens
Methodology:
SFT and DPO for dialogue adjustment
Input Output 
Input Format:
Japanese version of Alpaca prompt format
Performance Tips:
The model recommends using the default system prompt.
LLM NameTanuki 8B DPO V1.0
Repository 🤗https://huggingface.co/weblab-GENIAC/Tanuki-8B-dpo-v1.0 
Model Size8b
Required VRAM15 GB
Updated2025-02-22
Maintainerweblab-GENIAC
Model Typellama
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.6 GB: 3-of-4   0.5 GB: 4-of-4
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than weblab-GENIAC/Tanuki-8B-dpo-v1.0.

Rank the Tanuki 8B DPO V1.0 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 v20241227
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