Eleuther Pythia70m Hh Sft by lomahony

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  Arxiv:2101.00027   Autotrain compatible   Dataset:anthropic/hh-rlhf   En   Endpoints compatible   Gpt neox   Pythia   Pytorch   Region:us   Safetensors

Eleuther Pythia70m Hh Sft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Eleuther Pythia70m Hh Sft (lomahony/eleuther-pythia70m-hh-sft)

Eleuther Pythia70m Hh Sft Parameters and Internals

Model Type 
causal-lm
Use Cases 
Areas:
research
Applications:
text generation
Supported Languages 
English (unknown)
Training Details 
Data Sources:
Anthropic/hh-rlhf
Methodology:
supervised finetuning
Training Time:
1 epoch
LLM NameEleuther Pythia70m Hh Sft
Repository ๐Ÿค—https://huggingface.co/lomahony/eleuther-pythia70m-hh-sft 
Model Size95.6m
Required VRAM0.3 GB
Updated2025-02-05
Maintainerlomahony
Model Typegpt_neox
Model Files  0.3 GB   0.3 GB   0.3 GB   0.3 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.24.0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than lomahony/eleuther-pythia70m-hh-sft.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227