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Japanese Large Lm 3.6B Instruction Sft by line-corporation

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Japanese Large Lm 3.6B Instruction Sft is an open-source language model by line-corporation. Features: 3.6b LLM, VRAM: 7.2GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.1.

  Deploy:azure   Gpt neox   Instruct   Ja   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/line-corporation/japanese-large-lm-3.6b-instruction-sft 

Japanese Large Lm 3.6B Instruction Sft Benchmarks

LLME Score: 0.09502
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 (line-corporation/japanese-large-lm-3.6b-instruction-sft)
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Japanese Large Lm 3.6B Instruction Sft Parameters and Internals

Model Type 
language generation
LLM NameJapanese Large Lm 3.6B Instruction Sft
Repository 🤗https://huggingface.co/line-corporation/japanese-large-lm-3.6b-instruction-sft 
Model Size3.6b
Required VRAM7.2 GB
Updated2026-04-08
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

Best Alternatives to Japanese Large Lm 3.6B Instruction Sft

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...rrowSmartPlus 3.6B Instruction2K / 14.3 GB11
...rtPlus 3.6B Instant Sft JHSVer2K / 14.3 GB21
... GPT Neox 3.6B Instruction Sft2K / 7.4 GB9602105
... GPT Neox 3.6B Instruction Ppo2K / 7.4 GB168573
...T Neox 3.6B Instruction Sft V22K / 7.4 GB80526
...n Sft 4bit 128g Actorder False2K / 2.1 GB42
...tion Sft 8bit 1g Actorder True2K / 2.8 GB42
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  
Code Generation  
Multi-Language Support and Translation  

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