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Reuters Gpt2 Text Gen by 100daggers

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Reuters Gpt2 Text Gen is an open-source language model by 100daggers. Features: 125.8m LLM, VRAM: 0.5GB, License: mit, LLM Explorer Score: 0.15.

Base model:dineshsoudagar/reut... Base model:finetune:dineshsoud...   Endpoints compatible   Generated from trainer   Gpt2   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/Dineshsoudagar/reuters-gpt2-text-gen 

Reuters Gpt2 Text Gen Benchmarks

LLME Score: 0.14979
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reuters Gpt2 Text Gen (Dineshsoudagar/reuters-gpt2-text-gen)
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Reuters Gpt2 Text Gen Parameters and Internals

LLM NameReuters Gpt2 Text Gen
Repository 🤗https://huggingface.co/Dineshsoudagar/reuters-gpt2-text-gen 
Base Model(s)  Reuters Gpt2 Text Gen   100daggers/reuters-gpt2-text-gen
Model Size125.8m
Required VRAM0.5 GB
Updated2026-04-20
Maintainer100daggers
Model Typegpt2
Model Files  0.5 GB   0.0 GB
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Transformers Version4.44.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size52000
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than Dineshsoudagar/reuters-gpt2-text-gen.

Rank the Reuters Gpt2 Text Gen 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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