Kurtis E1 SmolLM2 1.7B Instruct by ethicalabs

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Kurtis E1 SmolLM2 1.7B Instruct is an open-source language model by ethicalabs. Features: 1.7b LLM, VRAM: 6.7GB, Context: 8K, License: mit, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational Dataset:ethicalabs/kurtis-e1-s...   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Kurtis E1 SmolLM2 1.7B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kurtis E1 SmolLM2 1.7B Instruct (ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct)
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Kurtis E1 SmolLM2 1.7B Instruct Parameters and Internals

LLM NameKurtis E1 SmolLM2 1.7B Instruct
Repository ๐Ÿค—https://huggingface.co/ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct 
Base Model(s)  HuggingFaceTB/SmolLM2-1.7B-Instruct   HuggingFaceTB/SmolLM2-1.7B-Instruct
Model Size1.7b
Required VRAM6.7 GB
Updated2026-04-10
Maintainerethicalabs
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.7 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.46.2
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 ethicalabs/Kurtis-E1-SmolLM2-1.7B-Instruct.

Rank the Kurtis E1 SmolLM2 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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Release v20260328a