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OceanGPT 7B V0.1 by zjunlp

 »  All LLMs  »  zjunlp  »  OceanGPT 7B V0.1   URL Share it on

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  Arxiv:2310.02031   Autotrain compatible   Dataset:zjunlp/oceaninstruct   En   Endpoints compatible   Llama   Ocean   Oceangpt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/zjunlp/OceanGPT-7b-v0.1 

OceanGPT 7B V0.1 Benchmarks

LLME Score: 0.13961
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OceanGPT 7B V0.1 (zjunlp/OceanGPT-7b-v0.1)

OceanGPT 7B V0.1 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
ocean science, research
Limitations:
hallucination issues, identity information similarity with Qwen/MiniCPM/LLaMA/GPT models, influenced by prompt tokens causing inconsistent results, requires specific simulator code for simulated embodied intelligence
Additional Notes 
The model is trained based on open-sourced large language models including Qwen, MiniCPM, and LLaMA.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
OceanInstruct
Input Output 
Accepted Modalities:
text
LLM NameOceanGPT 7B V0.1
Repository 🤗https://huggingface.co/zjunlp/OceanGPT-7b-v0.1 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainerzjunlp
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Chat Llama2 7B 80K80K / 13.8 GB80
Note: green Score (e.g. "73.2") means that the model is better than zjunlp/OceanGPT-7b-v0.1.

Rank the OceanGPT 7B V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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