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Model catalogOpenLLaMA 7B
OP

OpenLLaMA 7B

Foundation modelOpenLLaMA

OpenLLaMA 7B

Release date: 2023-05-03Updated: 2023-05-03 21:27:46.733729
Live demoGitHubHugging FaceCompare
Parameters
7B
Context length
2K (2048)
Chinese support
Not supported
Reasoning ability

OpenLLaMA 7B is an AI model published by Berkeley Artificial Intelligence Research, released on 2023-05-03, for Foundation model, with 70.0B parameters, and 2K tokens context length, requiring about 13.5GB storage.

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

OpenLLaMA 7B

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K (2048) tokens
Max output length
No data
Model type
Foundation model
Release date
2023-05-03
Model file size
13.5GB
MoE architecture
No
Total params / Active params
7B / N/A
Knowledge cutoff
No data
OpenLLaMA 7B

Open source & experience

Code license
No data
Weights license
No data
GitHub repo
https://github.com/openlm-research/open_llama
Hugging Face
https://huggingface.co/openlm-research/open_llama_7b_preview_200bt
Live demo
No live demo
OpenLLaMA 7B

Official resources

Paper
OpenLLaMA: An Open Reproduction of LLaMA
DataLearnerAI blog
No blog post yet
OpenLLaMA 7B

API details

API speed
No data
No public API pricing yet.
OpenLLaMA 7B

Benchmark Results

No benchmark data to show.

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OpenLLaMA 7B

Publisher

Berkeley Artificial Intelligence Research
Berkeley Artificial Intelligence Research
View publisher details
OpenLLaMA 7B

Model Overview

OpenLLaMA 7B is an AI model published by Berkeley Artificial Intelligence Research, released on 2023-05-03, for Foundation model, with 70.0B parameters, and 2K tokens context length, requiring about 13.5GB storage.

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