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ALMA 7B Ja V2 by webbigdata

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ALMA 7B Ja V2 is an open-source language model by webbigdata. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.14, Arc: 52.4, HellaSwag: 77.9, MMLU: 44.7.

  Arxiv:2309.11674   Cs   De   Deploy:azure   En   Is   Ja   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/webbigdata/ALMA-7B-Ja-V2 

ALMA 7B Ja V2 Benchmarks

ARC: 52.39 vs 96.7 (so35)-45.8%
HellaSwag: 77.92 vs 95.3 (gpt4)-18.2%
MMLU: 44.72 vs 88.3 (so35)-49.4%
LLME Score: 0.13967
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ALMA 7B Ja V2 (webbigdata/ALMA-7B-Ja-V2)
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ALMA 7B Ja V2 Parameters and Internals

Model Type 
machine translation
Use Cases 
Primary Use Cases:
Japanese-English translation, English-Japanese translation
Limitations:
Performance slightly reduced in GPTQ version, Reduced ability for languages other than Japanese and English
Additional Notes 
C3TR-Adapter and GPTQ versions available with different performance and resource usages.
Supported Languages 
ja (Japanese), en (English), de (German), zh (Chinese), is (Icelandic), cs (Czech)
Training Details 
Data Sources:
monolingual data, high-quality parallel data
Methodology:
Two-step fine-tuning on monolingual and parallel data
LLM NameALMA 7B Ja V2
Repository 🤗https://huggingface.co/webbigdata/ALMA-7B-Ja-V2 
Model Size7b
Required VRAM13.5 GB
Updated2026-05-19
Maintainerwebbigdata
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesja en de is zh cs
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.0
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 webbigdata/ALMA-7B-Ja-V2.

Rank the ALMA 7B Ja V2 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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