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SmolLM2 135M Instruction Tuned by MrHungLe01

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SmolLM2 135M Instruction Tuned is an open-source language model by MrHungLe01. Features: 135m LLM, VRAM: 0.3GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.26.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/MrHungLe01/SmolLM2-135M-Instruction-Tuned 

SmolLM2 135M Instruction Tuned Benchmarks

LLME Score: 0.26456
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM2 135M Instruction Tuned (MrHungLe01/SmolLM2-135M-Instruction-Tuned)
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SmolLM2 135M Instruction Tuned Parameters and Internals

LLM NameSmolLM2 135M Instruction Tuned
Repository 🤗https://huggingface.co/MrHungLe01/SmolLM2-135M-Instruction-Tuned 
Model NameSmolLM2-135M-Instruction-Tuned
Base Model(s)  SmolLM2 135M   HuggingFaceTB/SmolLM2-135M
Model Size135m
Required VRAM0.3 GB
Updated2026-05-25
MaintainerMrHungLe01
Model Typellama
Instruction-BasedYes
Model Files  0.3 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version5.0.0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size49152

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Kurtis SmolLM2 135M Instruct8K / 0.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than MrHungLe01/SmolLM2-135M-Instruction-Tuned.

Rank the SmolLM2 135M Instruction Tuned 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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