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Pythia 160M Helpful Sft by lomahony

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Pythia 160M Helpful Sft is an open-source language model by lomahony. Features: 160m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.1.

  Arxiv:2101.00027   Dataset:anthropic/hh-rlhf   En   Endpoints compatible   Gpt neox   Pythia   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/lomahony/pythia-160m-helpful-sft 

Pythia 160M Helpful Sft Benchmarks

LLME Score: 0.10295
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 160M Helpful Sft (lomahony/pythia-160m-helpful-sft)
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Pythia 160M Helpful Sft Parameters and Internals

Model Type 
causal-lm
Additional Notes 
Model was finetuned with the helpful subset of the Anthropic-hh-rlhf dataset. Checkpoints and fully reproducible code available on GitHub.
Training Details 
Data Sources:
Anthropic/hh-rlhf
Methodology:
Supervised finetuning using TRLx library with the helpful subset of Anthropic-hh-rlhf dataset for 1 epoch.
LLM NamePythia 160M Helpful Sft
Repository 🤗https://huggingface.co/lomahony/pythia-160m-helpful-sft 
Model Size160m
Required VRAM0.3 GB
Updated2026-04-03
Maintainerlomahony
Model Typegpt_neox
Model Files  0.3 GB   0.3 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|padding|>
Vocabulary Size50304
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lomahony/pythia-160m-helpful-sft.

Rank the Pythia 160M Helpful Sft 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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