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SmolLM 1.7B Instruct IFEval by gabrielmbmb

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SmolLM 1.7B Instruct IFEval is an open-source language model by gabrielmbmb. Features: 1.7b LLM, VRAM: 3.4GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.17.

  Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational   Dataset:gabrielmbmb/ifeval-trl   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/gabrielmbmb/SmolLM-1.7B-Instruct-IFEval 

SmolLM 1.7B Instruct IFEval Benchmarks

MMLU Pro: 1.73
GPQA: 0.45
MUSR: 1.6
BBH: 4.5
IFEval: 23.06 vs 88 (so35)-73.8%
MATH Lvl 5: 1.06
LLME Score: 0.17122
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM 1.7B Instruct IFEval (gabrielmbmb/SmolLM-1.7B-Instruct-IFEval)
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SmolLM 1.7B Instruct IFEval Parameters and Internals

LLM NameSmolLM 1.7B Instruct IFEval
Repository 🤗https://huggingface.co/gabrielmbmb/SmolLM-1.7B-Instruct-IFEval 
Model NameSmolLM-1.7B-Instruct-IFEval
Base Model(s)  HuggingFaceTB/SmolLM-1.7B-Instruct   HuggingFaceTB/SmolLM-1.7B-Instruct
Model Size1.7b
Required VRAM3.4 GB
Updated2025-09-23
Maintainergabrielmbmb
Model Typellama
Instruction-BasedYes
Model Files  3.4 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.45.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than gabrielmbmb/SmolLM-1.7B-Instruct-IFEval.

Rank the SmolLM 1.7B Instruct IFEval 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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