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Galactica 6.7B ReFT GSM8k by lqtrung1998

 »  All LLMs  »  lqtrung1998  »  Galactica 6.7B ReFT GSM8k   URL Share it on

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  Arxiv:2401.08967   Autotrain compatible   Endpoints compatible   Opt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lqtrung1998/galactica-6.7b-ReFT-GSM8k 

Galactica 6.7B ReFT GSM8k Benchmarks

ARC: 40.7 vs 96.7 (so35)-57.9%
HellaSwag: 50.34 vs 95.3 (gpt4)-47.2%
MMLU: 37.62 vs 88.3 (so35)-57.4%
TruthfulQA: 41.21 vs 59 (gpt4)-30.2%
WinoGrande: 58.33 vs 87.5 (gpt4)-33.3%
GSM8K: 0.68 vs 96.4 (so35)-99.3%
LLME Score: 0.17616
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 ReFT GSM8k (lqtrung1998/galactica-6.7b-ReFT-GSM8k)
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Galactica 6.7B ReFT GSM8k Parameters and Internals

LLM NameGalactica 6.7B ReFT GSM8k
Repository 🤗https://huggingface.co/lqtrung1998/galactica-6.7b-ReFT-GSM8k 
Model Size6.7b
Required VRAM13.8 GB
Updated2025-09-23
Maintainerlqtrung1998
Model Typeopt
Model Files  10.0 GB: 1-of-2   3.8 GB: 2-of-2
Model ArchitectureOPTForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size50000
Torch Data Typebfloat16
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than lqtrung1998/galactica-6.7b-ReFT-GSM8k.

Rank the Galactica 6.7B ReFT GSM8k Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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