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Trojan Large Pythia 6.9B Dev Phase by TDC2023

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  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TDC2023/trojan-large-pythia-6.9b-dev-phase 

Trojan Large Pythia 6.9B Dev Phase Benchmarks

LLME Score: 0.10737
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Trojan Large Pythia 6.9B Dev Phase Parameters and Internals

LLM NameTrojan Large Pythia 6.9B Dev Phase
Repository 🤗https://huggingface.co/TDC2023/trojan-large-pythia-6.9b-dev-phase 
Model Size6.9b
Required VRAM27.6 GB
Updated2025-06-09
MaintainerTDC2023
Model Typegpt_neox
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   7.6 GB: 3-of-3
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32
Trojan Large Pythia 6.9B Dev Phase (TDC2023/trojan-large-pythia-6.9b-dev-phase)

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...I Pythia 6.9B Deduped Sft Tldr2K / 13.8 GB9470
Oasst Pythia 6.9B 4000 Steps2K / 13.8 GB1680
Pythia 6.9B HC32K / 27.7 GB232
Open Instruct Pythia 6.9B Tulu2K / 27.6 GB5555
Pythia 6.9B Deduped Alpaca2K / 27.6 GB291
Note: green Score (e.g. "73.2") means that the model is better than TDC2023/trojan-large-pythia-6.9b-dev-phase.

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