Japanese Large Lm 3.6B Instruction Sft by line-corporation

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Japanese Large Lm 3.6B Instruction Sft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Japanese Large Lm 3.6B Instruction Sft Parameters and Internals

LLM NameJapanese Large Lm 3.6B Instruction Sft
Repository ๐Ÿค—https://huggingface.co/line-corporation/japanese-large-lm-3.6b-instruction-sft 
Model Size3.6b
Required VRAM7.2 GB
Updated2024-10-18
Maintainerline-corporation
Model Typegpt_neox
Instruction-BasedYes
Model Files  7.2 GB   7.2 GB
Supported Languagesja
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0.dev0
Tokenizer ClassT5Tokenizer
Padding Token<pad>
Vocabulary Size51200
Torch Data Typefloat16
Japanese Large Lm 3.6B Instruction Sft (line-corporation/japanese-large-lm-3.6b-instruction-sft)

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...rrowSmartPlus 3.6B Instruction2K / 14.3 GB31
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...T Neox 3.6B Instruction Sft V22K / 7.4 GB120726
...tion Sft 8bit 1g Actorder True2K / 2.8 GB153
...n Sft 4bit 128g Actorder False2K / 2.1 GB72
Note: green Score (e.g. "73.2") means that the model is better than line-corporation/japanese-large-lm-3.6b-instruction-sft.

Rank the Japanese Large Lm 3.6B Instruction Sft 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803