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Pythia 31M KI V1 2048 Scratch by pszemraj

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  2007   
  Autotrain compatible   En   Endpoints compatible   Generated from trainer   Gpt neox   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/pszemraj/pythia-31m-KI_v1-2048-scratch 

Pythia 31M KI V1 2048 Scratch Benchmarks

ARC: 23.12 vs 96.7 (so35)-76.1%
HellaSwag: 25.23 vs 95.3 (gpt4)-73.5%
MMLU: 23.12 vs 88.3 (so35)-73.8%
TruthfulQA: 51.67 vs 59 (gpt4)-12.4%
WinoGrande: 51.78 vs 87.5 (gpt4)-40.8%
LLME Score: 0.19904
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 31M KI V1 2048 Scratch (pszemraj/pythia-31m-KI_v1-2048-scratch)

Pythia 31M KI V1 2048 Scratch Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model initialized from random weights based on the configuration of EleutherAI/pythia-31m.
Supported Languages 
en (English)
Training Details 
Context Length:
2048
Release Notes 
Version:
base
Version:
1.0.0
Notes:
Initial release with random weights.
LLM NamePythia 31M KI V1 2048 Scratch
Repository 🤗https://huggingface.co/pszemraj/pythia-31m-KI_v1-2048-scratch 
Model Size31m
Required VRAM0.1 GB
Updated2025-02-22
Maintainerpszemraj
Model Typegpt_neox
Model Files  0.1 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than pszemraj/pythia-31m-KI_v1-2048-scratch.

Rank the Pythia 31M KI V1 2048 Scratch 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  
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Release v20241227
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