plamo-13b-instruct

plamo-13b-instruct

pfnet

PLaMo-13B-Instruct is a Japanese-English bilingual LLM with 13B parameters, 8192 context length, and instruction-tuning optimized for task completion.

PropertyValue
Parameter Count13 Billion
Context Length8192 tokens
Training Tokens1.5T (1.32T English, 0.18T Japanese)
LicenseApache License 2.0
DeveloperPreferred Networks, Inc

What is plamo-13b-instruct?

PLaMo-13B-Instruct is an advanced bilingual language model specifically fine-tuned for instruction-following tasks in both Japanese and English. Built upon the PLaMo-13B base model, it represents a significant achievement in creating a capable bilingual AI system with extended context handling capabilities.

Implementation Details

The model utilizes a causal decoder-only architecture and implements a sentencepiece tokenizer trained on carefully curated pretraining datasets. With its 8192 token context window, it offers substantial capacity for handling longer conversations and complex tasks.

  • Extensive training on 1.5T tokens across English and Japanese
  • Fine-tuned on multiple high-quality Japanese datasets including translated versions of dolly-15k and Anthropic HH-RLHF
  • Implements advanced sampling parameters with temperature control and top-p/top-k filtering

Core Capabilities

  • Bilingual instruction following in Japanese and English
  • Extended context handling with 8192 token window
  • Advanced text generation with configurable sampling parameters
  • Robust performance across multiple task types

Frequently Asked Questions

Q: What makes this model unique?

PLaMo-13B-Instruct stands out for its strong bilingual capabilities and extensive fine-tuning on Japanese datasets, making it particularly effective for Japanese language tasks while maintaining English proficiency. The extended context length of 8192 tokens is another distinguishing feature.

Q: What are the recommended use cases?

The model is well-suited for bilingual applications requiring Japanese and English language processing, instruction-following tasks, and scenarios benefiting from extended context understanding. It's particularly valuable for applications requiring nuanced understanding of Japanese language and culture.

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