Japanese Stablelm 3B 4e1t Instruct 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   Instruct   Ja   Japanese-stablelm   Region:us   Safetensors   Stablelm epoch

Japanese Stablelm 3B 4e1t Instruct 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 Instruct Parameters and Internals

Model Type
text-generation, causal-lm
Use Cases
Areas:
Research, Commercial applications
Primary Use Cases:
As a foundational model for application-specific fine-tuning
Limitations:
Potential for generating offensive or inappropriate content.
Considerations:Exercise caution in production systems to prevent harm or distress.
Supported Languages
Japanese (native)
Training Details
Data Sources:
Japanese translation of the Databricks Dolly-15k dataset, Japanese translation of the subset of the Anthropic HH dataset, Wikinews subset of the izumi-lab/llm-japanese-dataset
Methodology:Fine-tuned on instruction-following datasets.
Context Length:4096
Model Architecture:Decoder-only transformer with modifications similar to LLaMA.
LLM NameJapanese Stablelm 3B 4e1t Instruct
Repository ๐Ÿค—https://huggingface.co/stabilityai/japanese-stablelm-3b-4e1t-instruct 
Model Size3b
Required VRAM5.6 GB
Updated2024-11-12
Maintainerstabilityai
Model Typestablelm_epoch
Instruction-BasedYes
Model Files  5.6 GB
Supported Languagesja
Model ArchitectureStableLMEpochForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typebfloat16
Japanese Stablelm 3B 4e1t Instruct (stabilityai/japanese-stablelm-3b-4e1t-instruct)

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Rank the Japanese Stablelm 3B 4e1t Instruct 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 v20241110