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SmolTulu 1.7B Instruct by SultanR

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SmolTulu 1.7B Instruct is an open-source language model by SultanR. Features: 8b LLM, VRAM: 3.4GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.22.

  Arxiv:2411.15124   Arxiv:2412.08347   Allenai Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational Dataset:allenai/llama-3.1-tulu... Dataset:allenai/tulu-3-sft-mix...   Dpo   En   Endpoints compatible   Gguf   Huggingface   Instruct   Llama   Model-index   Quantized   Region:us   Safetensors   Sft   Slms   Small   Smollm   Tulu3
Model Card on HF 🤗: https://huggingface.co/SultanR/SmolTulu-1.7b-Instruct 

SmolTulu 1.7B Instruct Benchmarks

MMLU Pro: 7.89
GPQA: 2.57
MUSR: 1.92
BBH: 12.26
IFEval: 65.41 vs 88 (so35)-25.7%
MATH Lvl 5: 7.93
LLME Score: 0.21603
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolTulu 1.7B Instruct (SultanR/SmolTulu-1.7b-Instruct)
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SmolTulu 1.7B Instruct Parameters and Internals

LLM NameSmolTulu 1.7B Instruct
Repository 🤗https://huggingface.co/SultanR/SmolTulu-1.7b-Instruct 
Base Model(s)  HuggingFaceTB/SmolLM2-1.7B   HuggingFaceTB/SmolLM2-1.7B
Model Size8b
Required VRAM3.4 GB
Updated2026-04-10
MaintainerSultanR
Model Typellama
Instruction-BasedYes
Model Files  3.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.45.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
Torch Data Typebfloat16
Errorsreplace

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...lama 3.1 Cantonese 8B Instruct128K / 16.1 GB466
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Note: green Score (e.g. "73.2") means that the model is better than SultanR/SmolTulu-1.7b-Instruct.

Rank the SmolTulu 1.7B Instruct 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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