Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Ziya-LLaMA-13B-v1

Model basics

Reasoning traces

Not supported

Thinking modes

Thinking modes not supported

Context length

4K tokens

Max output length

No data

Model type

基础大模型

Release date

2023-05-16

Model file size

MoE architecture

Total params / Active params

130.0B / N/A

Knowledge cutoff

No data

Ziya-LLaMA-13B-v1

Open source & experience

Code license

Apache 2.0

Weights license

开源不可商用- 不可以商用

GitHub repo

https://github.com/IDEA-CCNL/Fengshenbang-LM

Hugging Face

https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1

Live demo

No live demo

Ziya-LLaMA-13B-v1

Official resources

Paper

No paper available

DataLearnerAI blog

No blog post yet

Ziya-LLaMA-13B-v1

API details

API speed

No data

No public API pricing yet.

Ziya-LLaMA-13B-v1

Benchmark Results

No benchmark data to show.

Ziya-LLaMA-13B-v1

Publisher

IDEA研究院

View publisher details

Ziya-LLaMA-13B-v1

Model Overview

姜子牙通用大模型V1是基于LLaMa的130亿参数的大规模预训练模型，具备翻译，编程，文本分类，信息抽取，摘要，文案生成，常识问答和数学计算等能力。目前姜子牙通用大模型已完成大规模预训练、多任务有监督微调和人类反馈学习三阶段的训练过程。

Foundation model

LLaMA

View details

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