Babylama Activation Gelu by Harshatheeswar

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Babylama Activation Gelu is an open-source language model by Harshatheeswar. Features: 137.8m LLM, VRAM: 0.6GB, Context: 0.3K, LLM Explorer Score: 0.16.

  Autotrain compatible Base model:finetune:harshathee... Base model:harshatheeswar/baby...   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Tensorboard

Babylama Activation Gelu Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Babylama Activation Gelu Parameters and Internals

LLM NameBabylama Activation Gelu
Repository 🤗https://huggingface.co/Harshatheeswar/babylama-activation_gelu 
Base Model(s)  Babylama Attention Heads12   Harshatheeswar/babylama-attention_heads12
Model Size137.8m
Required VRAM0.6 GB
Updated2025-09-15
MaintainerHarshatheeswar
Model Typellama
Model Files  0.6 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length256
Model Max Length256
Transformers Version4.46.2
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size16000
Torch Data Typefloat32

Best Alternatives to Babylama Activation Gelu

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Babylama Drop Outs0.3K / 0.6 GB50
Babylama Attention Heads120.3K / 0.6 GB50

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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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Release v20260328a