Open Calm 7B by cyberagent

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  Autotrain compatible   Dataset:cc100   Dataset:mc4   Dataset:wikipedia   Gpt neox   Ja   Japanese   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/cyberagent/open-calm-7b 

Open Calm 7B Benchmarks

Open Calm 7B (cyberagent/open-calm-7b)

Open Calm 7B Parameters and Internals

Model Type 
Transformer-based Language Model, causal-lm
Additional Notes 
This model is a fine-tuned version of OpenCALM-XX developed by CyberAgent, Inc. The model uses GPT-NeoX, a large-scale autoregressive language modeling library in PyTorch.
Supported Languages 
ja (Proficient)
Training Details 
Data Sources:
Wikipedia (ja), Common Crawl (ja)
Model Architecture:
Decoder-only
LLM NameOpen Calm 7B
Repository ๐Ÿค—https://huggingface.co/cyberagent/open-calm-7b 
Model Size7b
Required VRAM13.9 GB
Updated2025-02-22
Maintainercyberagent
Model Typegpt_neox
Model Files  9.9 GB: 1-of-2   4.0 GB: 2-of-2
Supported Languagesja
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.27.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size52224
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cyberagent/open-calm-7b.

Rank the Open Calm 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227