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Pythia 70M Deduped Cleansharegpt En by HWERI

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  Autotrain compatible Dataset:shibing624/sharegpt gp...   En   Endpoints compatible   Gpt neox   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/HWERI/pythia-70m-deduped-cleansharegpt-en 

Pythia 70M Deduped Cleansharegpt En Benchmarks

ARC: 21.16 vs 96.7 (so35)-78.1%
HellaSwag: 27.16 vs 95.3 (gpt4)-71.5%
MMLU: 25.24 vs 88.3 (so35)-71.4%
TruthfulQA: 48.57 vs 59 (gpt4)-17.7%
WinoGrande: 50.12 vs 87.5 (gpt4)-42.7%
LLME Score: 0.17356
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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Pythia 70M Deduped Cleansharegpt En Parameters and Internals

Model Type 
text generation
Supported Languages 
en (The only supported language for this model is English.)
Training Details 
Data Sources:
shibing624/sharegpt_gpt4
Data Volume:
3507 instances
Methodology:
The dataset is cleaned by removing duplicates and paraphrases.
LLM NamePythia 70M Deduped Cleansharegpt En
Repository 🤗https://huggingface.co/HWERI/pythia-70m-deduped-cleansharegpt-en 
Model Size70m
Required VRAM0.3 GB
Updated2025-06-09
MaintainerHWERI
Model Typegpt_neox
Model Files  0.3 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50280
Torch Data Typefloat32
Pythia 70M Deduped Cleansharegpt En (HWERI/pythia-70m-deduped-cleansharegpt-en)

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Note: green Score (e.g. "73.2") means that the model is better than HWERI/pythia-70m-deduped-cleansharegpt-en.

Rank the Pythia 70M Deduped Cleansharegpt En Capabilities

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

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Release v20241124
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