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Pythia Chat Base 7B by togethercomputer

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  Autotrain compatible   En   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/togethercomputer/Pythia-Chat-Base-7B 

Pythia Chat Base 7B Benchmarks

ARC: 40.02 vs 96.7 (so35)-58.6%
HellaSwag: 68.67 vs 95.3 (gpt4)-27.9%
MMLU: 27.44 vs 88.3 (so35)-68.9%
TruthfulQA: 34.63 vs 59 (gpt4)-41.3%
WinoGrande: 64.01 vs 87.5 (gpt4)-26.8%
GSM8K: 4.09 vs 96.4 (so35)-95.8%
LLME Score: 0.13088
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia Chat Base 7B (togethercomputer/Pythia-Chat-Base-7B)
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Pythia Chat Base 7B Parameters and Internals

LLM NamePythia Chat Base 7B
Repository 🤗https://huggingface.co/togethercomputer/Pythia-Chat-Base-7B 
Model Size7b
Required VRAM13.8 GB
Updated2025-09-14
Maintainertogethercomputer
Model Typegpt_neox
Model Files  10.0 GB: 1-of-2   3.8 GB: 2-of-2
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.21.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than togethercomputer/Pythia-Chat-Base-7B.

Rank the Pythia Chat Base 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Release v20241124
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