SmollerLM 20M Instruct Pruned Base PostPruneRetraining by mehmetkeremturkcan

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SmollerLM 20M Instruct Pruned Base PostPruneRetraining is an open-source language model by mehmetkeremturkcan. Features: 20m LLM, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

  Instruct   Llama   Region:us   Safetensors

SmollerLM 20M Instruct Pruned Base PostPruneRetraining Benchmarks

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

SmollerLM 20M Instruct Pruned Base PostPruneRetraining Parameters and Internals

LLM NameSmollerLM 20M Instruct Pruned Base PostPruneRetraining
Repository 🤗https://huggingface.co/mehmetkeremturkcan/SmollerLM-20M-Instruct-Pruned-Base-PostPruneRetraining 
Model Size20m
Required VRAM0 GB
Updated2025-09-20
Maintainermehmetkeremturkcan
Model Typellama
Instruction-BasedYes
Model Files  0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.48.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mehmetkeremturkcan/SmollerLM-20M-Instruct-Pruned-Base-PostPruneRetraining.

Rank the SmollerLM 20M Instruct Pruned Base PostPruneRetraining 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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Release v20260328a