Galactica 6.7B Evol Instruct 70K by GeorgiaTechResearchInstitute

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  Arxiv:2304.12244   Alpaca   Autotrain compatible Dataset:victor123/evol instruc...   Galactica   Instruct   Opt   Pytorch   Region:us   Sharded   Wizardlm

Galactica 6.7B Evol Instruct 70K Benchmarks

Galactica 6.7B Evol Instruct 70K (GeorgiaTechResearchInstitute/galactica-6.7b-evol-instruct-70k)

Galactica 6.7B Evol Instruct 70K Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research
Applications:
Scientific tasks, Language models applied to scientific domain
Limitations:
Cautions against production use without safeguards
Training Details 
Data Sources:
Papers, Textbooks, Scientific websites, Encyclopedias
Data Volume:
106 billion tokens
Methodology:
Fine-tuning on Evol-Instruct-70k dataset
Context Length:
2048
Training Time:
22 hours
Hardware Used:
8 A100 80GB GPUs
Input Output 
Input Format:
Instruction-response prompt
Accepted Modalities:
Text
Output Format:
Text-based responses
LLM NameGalactica 6.7B Evol Instruct 70K
Repository ๐Ÿค—https://huggingface.co/GeorgiaTechResearchInstitute/galactica-6.7b-evol-instruct-70k 
Model Size6.7b
Required VRAM27.4 GB
Updated2024-12-22
MaintainerGeorgiaTechResearchInstitute
Model Typeopt
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   7.5 GB: 3-of-3   0.0 GB
Model ArchitectureOPTForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size50000
Torch Data Typefloat32
Activation Functiongelu

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217