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Gpt2023 by crumb

 »  All LLMs  »  crumb  »  Gpt2023   URL Share it on

  2032   
  Autotrain compatible   En   Endpoints compatible   Gpt2   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/crumb/gpt2023 

Gpt2023 Benchmarks

ARC: 21.93 vs 96.7 (so35)-77.3%
HellaSwag: 31.11 vs 95.3 (gpt4)-67.4%
MMLU: 25.05 vs 88.3 (so35)-71.6%
TruthfulQA: 40.71 vs 59 (gpt4)-31%
WinoGrande: 50.12 vs 87.5 (gpt4)-42.7%
GSM8K: 0.3 vs 96.4 (so35)-99.7%
LLME Score: 0.16549
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2023 (crumb/gpt2023)

Gpt2023 Parameters and Internals

Model Type 
causal-lm
Use Cases 
Areas:
Research
Limitations:
Lack of awareness of some recent events due to finetuning on a limited dataset
Supported Languages 
en (Fluent)
Training Details 
Data Sources:
common crawl sites, ArXiv, GitHub
Data Volume:
2.23 billion tokens
Methodology:
Finetuning on existing GPT-2 model with learning rate adjustments
Context Length:
1024
Training Time:
79.32 hours
Hardware Used:
12GB RTX3060
Model Architecture:
Transformer-based architecture, left-to-right causal language model
Input Output 
Input Format:
Text input, up to 1024 tokens
Accepted Modalities:
text
Output Format:
Text generation
Performance Tips:
Setting a seed can help achieve reproducible results
LLM NameGpt2023
Repository 🤗https://huggingface.co/crumb/gpt2023 
Model Size137m
Required VRAM0.3 GB
Updated2025-03-14
Maintainercrumb
Model Typegpt2
Model Files  0.3 GB   0.3 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Transformers Version4.29.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typebfloat16
Activation Functiongelu_new

Best Alternatives to Gpt2023

Best Alternatives
Context / RAM
Downloads
Likes
Phantasor 137M0K / 0.5 GB2111
Phantasor V0.1 137M0K / 0.5 GB931
Phantasor V0.2 137M0K / 0.5 GB731
Phantasor V0.3 137M0K / 0.5 GB371
Gpt20K / 0.5 GB170500682617
Gpt2 Auth0K / 0.5 GB690
My GPT20K / 0.5 GB20650
Gpt2 Test0K / 0.5 GB17740
Gpt2 Alpaca0K / 0.5 GB88559
Xuanxuan0K / 0.3 GB820
Note: green Score (e.g. "73.2") means that the model is better than crumb/gpt2023.

Rank the Gpt2023 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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