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Galactica 6.7B ReFT GSM8k by lqtrung1998

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Galactica 6.7B ReFT GSM8k is an open-source language model by lqtrung1998. Features: 6.7b LLM, VRAM: 13.8GB, Context: 2K, License: cc-by-nc-4.0, LLM Explorer Score: 0.17, Arc: 40.7, HellaSwag: 50.3, MMLU: 37.6, GSM8K: 0.7.

  Arxiv:2401.08967   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%
GSM8K: 0.68 vs 96.4 (so35)-99.3%
LLME Score: 0.1671
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
Updated2026-05-03
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.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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