Hugging Face Overview
NLPark Shi-Ci_v3-Robin Overview
NLPark/Shi-Ci_v3-Robin is a 70 billion parameter instruction-tuned language model, representing an early preview of NLPark's v3 series of LLMs. This model is part of a larger family that includes "Shi-Ci", "AnFeng", and "Cecilia" products, with sizes ranging from "Nano" to "Kestrel"; "Robin" signifies a larger scale within this hierarchy. The model is designed to handle both Chinese and English languages, making it suitable for bilingual applications.
Key Capabilities
- Bilingual Support: Proficient in both Chinese and English language processing.
- Instruction Following: Optimized through supervised fine-tuning (SFT) to follow instructions effectively.
- General Language Tasks: Capable of a wide range of natural language understanding and generation tasks.
Good For
- Bilingual Applications: Ideal for use cases requiring proficiency in both Chinese and English.
- Early-Stage Development: Suitable for developers looking to experiment with NLPark's v3 LLM architecture.
- General-Purpose LLM Tasks: Can be applied to various text generation, summarization, and question-answering scenarios.