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Umievo Itr012 Gleipnir 7B by umiyuki

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  Merged Model   Arxiv:2203.05482   Autotrain compatible   Endpoints compatible   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/umiyuki/Umievo-itr012-Gleipnir-7B 

Umievo Itr012 Gleipnir 7B Benchmarks

LLME Score: 0.19656
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Umievo Itr012 Gleipnir 7B (umiyuki/Umievo-itr012-Gleipnir-7B)

Umievo Itr012 Gleipnir 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
An evolutionary merge of four Japanese language models using the 'linear' method.
Supported Languages 
ja (Japanese)
Training Details 
Methodology:
Evolutinary Merge using Linear Method
LLM NameUmievo Itr012 Gleipnir 7B
Repository 🤗https://huggingface.co/umiyuki/Umievo-itr012-Gleipnir-7B 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintainerumiyuki
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.6 GB: 2-of-2
Supported Languagesja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
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 umiyuki/Umievo-itr012-Gleipnir-7B.

Rank the Umievo Itr012 Gleipnir 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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Release v20241227
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