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SmolLM2 FT Eng by wilka

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SmolLM2 FT Eng is an open-source language model by wilka. Features: 135m LLM, VRAM: 0.5GB, Context: 8K, License: proprietary, LLM Explorer Score: 0.18.

  Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational   Endpoints compatible   English   Generated from trainer   Llama   Region:us   Safetensors   Sft   Smol-course   Trl
Model Card on HF 🤗: https://huggingface.co/wilka/SmolLM2-FT-eng 

SmolLM2 FT Eng Benchmarks

LLME Score: 0.18187
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 FT Eng (wilka/SmolLM2-FT-eng)
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SmolLM2 FT Eng Parameters and Internals

LLM NameSmolLM2 FT Eng
Repository 🤗https://huggingface.co/wilka/SmolLM2-FT-eng 
Model NameSmolLM2-FT-eng
Base Model(s)  SmolLM2 135M   HuggingFaceTB/SmolLM2-135M
Model Size135m
Required VRAM0.5 GB
Updated2025-06-22
Maintainerwilka
Model Typellama
Model Files  0.5 GB   0.0 GB
Gated ModelYes
Model ArchitectureLlamaForCausalLM
Licenseproprietary
Context Length8192
Model Max Length8192
Transformers Version4.51.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than wilka/SmolLM2-FT-eng.

Rank the SmolLM2 FT Eng 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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