Llm Jp 13B Instruct Lora Jaster V1.0 by llm-jp

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  Adapter   En   Finetuned   Instruct   Ja   Lora   Peft   Region:us

Llm Jp 13B Instruct Lora Jaster V1.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llm Jp 13B Instruct Lora Jaster V1.0 (llm-jp/llm-jp-13b-instruct-lora-jaster-v1.0)
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Llm Jp 13B Instruct Lora Jaster V1.0 Parameters and Internals

Model Type 
Transformer-based Language Model
Additional Notes 
The models released are in the early stages and have not been tuned to ensure outputs align with human intent and safety.
Supported Languages 
en (English), ja (Japanese)
Training Details 
Data Sources:
Wikipedia, mC4, The Pile, The Stack
Data Volume:
300B tokens total
Methodology:
SentencePiece Unigram byte-fallback
Context Length:
2048
Hardware Used:
96 A100 40GB GPUs
Model Architecture:
Megatron-DeepSpeed
LLM NameLlm Jp 13B Instruct Lora Jaster V1.0
Repository ๐Ÿค—https://huggingface.co/llm-jp/llm-jp-13b-instruct-lora-jaster-v1.0 
Model Size13b
Required VRAM0.1 GB
Updated2025-09-21
Maintainerllm-jp
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesen ja
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad|LLM-jp>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesc_attn|c_proj|c_fc
LoRA Alpha32
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than llm-jp/llm-jp-13b-instruct-lora-jaster-v1.0.

Rank the Llm Jp 13B Instruct Lora Jaster V1.0 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 v20241124