Galactica 6.7B Finetuned by OpenAssistant

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  Autotrain compatible   Endpoints compatible   Finetuned   Opt   Pytorch   Region:us   Sharded

Galactica 6.7B Finetuned Benchmarks

Galactica 6.7B Finetuned (OpenAssistant/galactica-6.7b-finetuned)

Galactica 6.7B Finetuned Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is a finetuned version on webgpt and prompt_dialogue datasets, employed for improved language understanding and dialogue framing tasks.
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Enable gradient checkpointing and load model using 8-bit precision for optimized performance with lower memory usage.
LLM NameGalactica 6.7B Finetuned
Repository ๐Ÿค—https://huggingface.co/OpenAssistant/galactica-6.7b-finetuned 
Model Size6.7b
Required VRAM27.4 GB
Updated2024-12-22
MaintainerOpenAssistant
Model Typeopt
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   7.5 GB: 3-of-3
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.25.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size50002
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