Japanese Stablelm 3B 4e1t Base by stabilityai

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  Arxiv:1607.06450   Arxiv:1910.07467   Arxiv:2104.09864   Arxiv:2204.06745   Arxiv:2307.09288   Autotrain compatible   Custom code   Dataset:cc100 Dataset:cerebras/slimpajama-62...   Dataset:mc4 Dataset:oscar-corpus/oscar-220... Dataset:oscar-corpus/oscar-230...   Dataset:wikipedia   Ja   Japanese-stablelm   Region:us   Safetensors   Stablelm epoch

Japanese Stablelm 3B 4e1t Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Japanese Stablelm 3B 4e1t Base (stabilityai/japanese-stablelm-3b-4e1t-base)
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Japanese Stablelm 3B 4e1t Base Parameters and Internals

Model Type 
text generation, causal-lm
Use Cases 
Areas:
research, commercial applications
Limitations:
Contains offensive or inappropriate content even after data cleansing
Considerations:
Exercise caution in production systems
Additional Notes 
Not suitable for applications that may harm or distress individuals or groups.
Supported Languages 
ja (primary)
Training Details 
Data Sources:
https://dumps.wikimedia.org/other/cirrussearch, https://huggingface.co/datasets/mc4, http://data.statmt.org/cc-100/ja.txt.xz, https://oscar-project.github.io/documentation/, https://huggingface.co/datasets/cerebras/SlimPajama-627B
Data Volume:
~100B tokens
Methodology:
Continued pretraining of an English language model on Japanese data.
Context Length:
4096
Model Architecture:
decoder-only transformer with modifications
Input Output 
Accepted Modalities:
text
LLM NameJapanese Stablelm 3B 4e1t Base
Repository ๐Ÿค—https://huggingface.co/stabilityai/japanese-stablelm-3b-4e1t-base 
Model Size3b
Required VRAM5.6 GB
Updated2025-09-23
Maintainerstabilityai
Model Typestablelm_epoch
Model Files  5.6 GB
Supported Languagesja
Model ArchitectureStableLMEpochForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than stabilityai/japanese-stablelm-3b-4e1t-base.

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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 v20241124