ALMA 7B Ja V2 by webbigdata

 ยป  All LLMs  ยป  webbigdata  ยป  ALMA 7B Ja V2   URL Share it on

  Arxiv:2309.11674   Autotrain compatible   Cs   De   En   Is   Ja   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Zh

ALMA 7B Ja V2 Benchmarks

ALMA 7B Ja V2 (webbigdata/ALMA-7B-Ja-V2)

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 ๐Ÿค—https://huggingface.co/webbigdata/ALMA-7B-Ja-V2 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
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

Best Alternatives to ALMA 7B Ja V2

Best Alternatives
Context / RAM
Downloads
Likes
2 Very Sci Fi1024K / 16.1 GB3170
...1M 1000000ctx AEZAKMI 3 1 17021024K / 13.5 GB231
... Qwen2.5llamaify 7B V23.1 200K195K / 15.2 GB39433
LlamaStock 8B128K / 16.1 GB111
SuperNeuralDreadDevil 8B128K / 16.1 GB541
Yarn Llama 2 7B 128K128K / 13.5 GB642239
LLaMA 7B PoSE YaRN 128K128K / 13.5 GB73
LLaMA 7B PoSE Linear 96K96K / 27 GB92
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB111
Chat Llama2 7B 80K80K / 13.8 GB80
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

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227