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Japanese Stablelm Base Beta 7B by stabilityai

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Japanese Stablelm Base Beta 7B is an open-source language model by stabilityai. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.1.

  Dataset:cc100 Dataset:cerebras/slimpajama-62...   Dataset:mc4 Dataset:oscar-corpus/oscar-220... Dataset:oscar-corpus/oscar-230...   Dataset:wikipedia   Deploy:azure   Endpoints compatible   Ja   Japanese-stablelm   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/stabilityai/japanese-stablelm-base-beta-7b 

Japanese Stablelm Base Beta 7B Benchmarks

LLME Score: 0.10064
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Japanese Stablelm Base Beta 7B (stabilityai/japanese-stablelm-base-beta-7b)
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Japanese Stablelm Base Beta 7B Parameters and Internals

Model Type 
causal-lm, text-generation
Use Cases 
Limitations:
The pre-training dataset may have contained offensive or inappropriate content even after applying data cleansing filters which can be reflected in the model generated text., Do not use the model for any applications that may cause harm or distress to individuals or groups.
Considerations:
Exercise reasonable caution when using these models in production systems.
Additional Notes 
For questions and comments about the model, join Stable Community Japan on Discord.
Supported Languages 
Japanese (native)
Training Details 
Data Sources:
Japanese/English Wikipedia, Japanese mc4, Japanese CC-100, Japanese OSCAR, SlimPajama (excluding the Books3 subset)
Data Volume:
100 billion tokens
Methodology:
fine-tuned on Japanese data
Model Architecture:
auto-regressive language model based on Llama2 transformer architecture
LLM NameJapanese Stablelm Base Beta 7B
Repository 🤗https://huggingface.co/stabilityai/japanese-stablelm-base-beta-7b 
Model Size7b
Required VRAM13.5 GB
Updated2026-05-03
Maintainerstabilityai
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesja
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than stabilityai/japanese-stablelm-base-beta-7b.

Rank the Japanese Stablelm Base Beta 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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