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Japanese Starling ChatV 7B EXL2 by AbeShinzo0708

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  6-bit   Autotrain compatible   Endpoints compatible   Exl2   Ja   Mistral   Quantized   Region:us   Safetensors

Japanese Starling ChatV 7B EXL2 Benchmarks

LLME Score: 0.20407
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Japanese Starling ChatV 7B EXL2 Parameters and Internals

LLM NameJapanese Starling ChatV 7B EXL2
Repository 🤗https://huggingface.co/AbeShinzo0708/Japanese-Starling-ChatV-7B-exl2 
Base Model(s)  Japanese Starling ChatV 7B   TFMC/Japanese-Starling-ChatV-7B
Model Size7b
Required VRAM5.6 GB
Updated2024-10-18
MaintainerAbeShinzo0708
Model Typemistral
Model Files  5.6 GB
Supported Languagesja
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Japanese Starling ChatV 7B EXL2 (AbeShinzo0708/Japanese-Starling-ChatV-7B-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than AbeShinzo0708/Japanese-Starling-ChatV-7B-exl2.

Rank the Japanese Starling ChatV 7B 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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Release v2024072803
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