Ziya-LLaMA-13B-Pretrain-v1
Foundation modelZiya-LLaMA-13B-Pretrain-v1
Ziya-LLaMA-13B-Pretrain-v1 is an AI model published by IDEA Research Institute, released on 2023-06-01, for Foundation model, with 13B parameters, and 4K context length, requiring about 26 storage, with a 43.90 score on MMLU.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Ziya-LLaMA-13B-Pretrain-v1 currently shows benchmark results led by AGIEval (22 / 28, score 27.20), C-Eval (42 / 48, score 30.20), MMLU (115 / 124, score 43.90). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Compare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
Ziya-LLaMA-13B-Pretrain-v1 is an AI model published by IDEA Research Institute, released on 2023-06-01, for Foundation model, with 13B parameters, and 4K context length, requiring about 26 storage, with a 43.90 score on MMLU.
Foundation model
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
