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Gpt2 Scratch by Harshatheeswar

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Gpt2 Scratch is an open-source language model by Harshatheeswar. Features: 124.4m LLM, VRAM: 0.5GB, LLM Explorer Score: 0.28, ELO: 1214.

Base model:finetune:harshathee... Base model:harshatheeswar/gpt2...   Endpoints compatible   Generated from trainer   Gpt2   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/Harshatheeswar/gpt2-scratch 

Gpt2 Scratch Benchmarks

LMSys ELO: 1214 vs 1272 (so35)-4.6%
LLME Score: 0.27579
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2 Scratch (Harshatheeswar/gpt2-scratch)
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Gpt2 Scratch Parameters and Internals

LLM NameGpt2 Scratch
Repository 🤗https://huggingface.co/Harshatheeswar/gpt2-scratch 
Base Model(s)  Gpt2 Scratch   Harshatheeswar/gpt2-scratch
Model Size124.4m
Required VRAM0.5 GB
Updated2026-04-29
MaintainerHarshatheeswar
Model Typegpt2
Model Files  0.5 GB   0.0 GB
Model ArchitectureGPT2LMHeadModel
Model Max Length1024
Transformers Version4.44.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

Best Alternatives to Gpt2 Scratch

Best Alternatives
Context / RAM
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CalmaCatLM 2 Mini0K / 0.5 GB01
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Gpt2 Hoodie Final0K / 0.5 GB70
Autotrain Be6vh G5hv90K / 0.5 GB70
Gpt2 Sft0K / 0.5 GB50
ArshGpt0K / 0.5 GB2212
Gpt2 Coconut Gsm From Cot70K / 0.5 GB60
Note: green Score (e.g. "73.2") means that the model is better than Harshatheeswar/gpt2-scratch.

Rank the Gpt2 Scratch 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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