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Llama2 Ja Small Instruct by if001

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Llama2 Ja Small Instruct is an open-source language model by if001. Features: LLM, VRAM: 1.7GB, Context: 2K, License: cc-by-4.0, Instruction-Based, LLM Explorer Score: 0.1.

  Conversational Dataset:kunishou/databricks-do...   Dataset:kunishou/oasst1-89k-ja   En   Instruct   Ja   Japanese   Llama   Llama2   Lm   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/if001/llama2_ja_small_instruct 

Llama2 Ja Small Instruct Benchmarks

LLME Score: 0.09694
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 Ja Small Instruct (if001/llama2_ja_small_instruct)
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Llama2 Ja Small Instruct Parameters and Internals

Model Type 
text generation, lm, nlp, conversational
Use Cases 
Areas:
research, educational
Applications:
text generation, conversational AI, language understanding
Primary Use Cases:
Japanese text generation, Instruction following in Japanese
Limitations:
May not perform well outside trained domains
Additional Notes 
The model has been specifically trained and fine-tuned for Japanese language generation and instruction-following tasks.
Supported Languages 
ja (fluent), en (competent)
Training Details 
Data Sources:
kunishou/databricks-dolly-15k-ja, kunishou/oasst1-89k-ja
Methodology:
SFT using instruction datasets
Model Architecture:
Modified LLaMA2 architecture for Japanese context
Input Output 
Input Format:
structured prompts
Accepted Modalities:
text
Output Format:
Japanese text responses
Performance Tips:
Ensure prompts are well-structured Japanese text
LLM NameLlama2 Ja Small Instruct
Repository 🤗https://huggingface.co/if001/llama2_ja_small_instruct 
Required VRAM1.7 GB
Updated2026-05-14
Maintainerif001
Model Typellama
Instruction-BasedYes
Model Files  1.7 GB
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensecc-by-4.0
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Vocabulary Size35008
Torch Data Typefloat32

Best Alternatives to Llama2 Ja Small Instruct

Best Alternatives
Context / RAM
Downloads
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Reverse Instruct32K / 27 GB123
Etri Ones Solar4K / 42.9 GB8750
Phi 3 Orpo V8.164K / 7.6 GB270
UltraLink LM4K / 52.3 GB145
Tinyllama Python4K / 2.2 GB62
Small Instruct4K / 2.9 GB91
Taiwan LLaMa V1.04K / 26 GB3578
Taiwan LLaMa V0.04K / 26 GB81
Taiwan LLaMa V0.94K / 26 GB70
Wongwian Micro Instruct2K / 0.5 GB12190
Note: green Score (e.g. "73.2") means that the model is better than if001/llama2_ja_small_instruct.

Rank the Llama2 Ja Small Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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