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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

ARC: 41.55 vs 96.7 (so35)-57%
HellaSwag: 51.01 vs 95.3 (gpt4)-46.5%
MMLU: 38.03 vs 88.3 (so35)-56.9%
TruthfulQA: 41.65 vs 59 (gpt4)-29.4%
WinoGrande: 57.7 vs 87.5 (gpt4)-34.1%
GSM8K: 3.11 vs 96.4 (so35)-96.8%
LLME Score: 0.13738
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Galactica 6.7B Finetuned Parameters and Internals

LLM NameGalactica 6.7B Finetuned
Repository 🤗https://huggingface.co/OpenAssistant/galactica-6.7b-finetuned 
Model Size6.7b
Required VRAM27.4 GB
Updated2024-10-18
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
Galactica 6.7B Finetuned (OpenAssistant/galactica-6.7b-finetuned)

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Note: green Score (e.g. "73.2") means that the model is better than OpenAssistant/galactica-6.7b-finetuned.

Rank the Galactica 6.7B Finetuned Capabilities

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Instruction Following and Task Automation  
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Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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