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Kunoichi Lemon Royale 7B 8.0bpw H8 EXL2 by grimjim

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Kunoichi Lemon Royale 7B 8.0bpw H8 EXL2 is an open-source language model by grimjim. Features: 7b LLM, VRAM: 7.4GB, Context: 8K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2306.01708   Arxiv:2311.03099 Base model:finetune:grimjim/ku... Base model:grimjim/kunoichi-le...   Endpoints compatible   Exl2   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/grimjim/kunoichi-lemon-royale-7B-8.0bpw_h8_exl2 

Kunoichi Lemon Royale 7B 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.12663
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kunoichi Lemon Royale 7B 8.0bpw H8 EXL2 (grimjim/kunoichi-lemon-royale-7B-8.0bpw_h8_exl2)
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Kunoichi Lemon Royale 7B 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model has a tendency to reveal character interiority in narratives; experimental and may reveal context.
Training Details 
Methodology:
DARE TIES merge method using multiple pre-trained models
Context Length:
8000
Model Architecture:
Merge of multiple pre-trained models
Input Output 
Accepted Modalities:
text
LLM NameKunoichi Lemon Royale 7B 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/grimjim/kunoichi-lemon-royale-7B-8.0bpw_h8_exl2 
Base Model(s)  Kunoichi Lemon Royale 7B   grimjim/kunoichi-lemon-royale-7B
Model Size7b
Required VRAM7.4 GB
Updated2026-04-01
Maintainergrimjim
Model Typemistral
Model Files  2.7 GB: 1-of-3   2.6 GB: 2-of-3   2.1 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than grimjim/kunoichi-lemon-royale-7B-8.0bpw_h8_exl2.

Rank the Kunoichi Lemon Royale 7B 8.0bpw H8 EXL2 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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