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KawaiiMahou Mistral 7B by nbeerbower

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KawaiiMahou Mistral 7B is an open-source language model by nbeerbower. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.13.

Base model:finetune:flammenai/... Base model:flammenai/mahou-1.1... Dataset:yongtae-jp/orca dpo pa...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/KawaiiMahou-mistral-7B 

KawaiiMahou Mistral 7B Benchmarks

LLME Score: 0.1328
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KawaiiMahou Mistral 7B (nbeerbower/KawaiiMahou-mistral-7B)
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KawaiiMahou Mistral 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
Trained on a Japanese DPO set.
Training Details 
Data Sources:
yongtae-jp/orca_dpo_pairs_ja
Methodology:
Finetuned using an A100 on Google Colab. Utilized Direct Preference Optimization.
Hardware Used:
A100 GPU on Google Colab
Model Architecture:
Utilizes LoRA configuration with AutoModelForCausalLM
Input Output 
Input Format:
ChatML format
Accepted Modalities:
text
Output Format:
text generation
Performance Tips:
Enable Instruct Mode for ChatML, use ChatML for Context Template, use specified stopping strings: ['<', '|', '<|', '\n']
LLM NameKawaiiMahou Mistral 7B
Repository 🤗https://huggingface.co/nbeerbower/KawaiiMahou-mistral-7B 
Base Model(s)  flammenai/Mahou-1.1-mistral-7B   flammenai/Mahou-1.1-mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2026-03-24
Maintainernbeerbower
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/KawaiiMahou-mistral-7B.

Rank the KawaiiMahou Mistral 7B 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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