NarumashiRTS V2 by Alsebay

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  Autotrain compatible Base model:finetune:sanjiwatsu... Base model:sanjiwatsuki/kunoic...   En   Endpoints compatible   Mistral   Pytorch   Region:us   Roleplay   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/Alsebay/NarumashiRTS-V2 

NarumashiRTS V2 Benchmarks

NarumashiRTS V2 (Alsebay/NarumashiRTS-V2)

NarumashiRTS V2 Parameters and Internals

Model Type 
text-generation-inference, unsloth, mistral, trl, sft, Roleplay, roleplay
Additional Notes 
V2 have more epochs and it is recommended to use V2.1.
Training Details 
Data Sources:
TSF dataset
Methodology:
Finetuned with rough translate dataset, to increase the accuracy in TSF theme, which is not quite popular.
LLM NameNarumashiRTS V2
Repository ๐Ÿค—https://huggingface.co/Alsebay/NarumashiRTS-V2 
Base Model(s)  Kunoichi DPO V2 7B   SanjiWatsuki/Kunoichi-DPO-v2-7B
Model Size7b
Required VRAM14.4 GB
Updated2024-12-03
MaintainerAlsebay
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Alsebay/NarumashiRTS-V2.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227