Kurtis E1.1 Qwen2.5 3B Instruct by ethicalabs

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Kurtis E1.1 Qwen2.5 3B Instruct is an open-source language model by ethicalabs. Features: 3b LLM, VRAM: 8.1GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins...   Conversational Dataset:ethicalabs/kurtis-e1-s...   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Kurtis E1.1 Qwen2.5 3B 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 E1.1 Qwen2.5 3B Instruct Parameters and Internals

LLM NameKurtis E1.1 Qwen2.5 3B Instruct
Repository 🤗https://huggingface.co/ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM8.1 GB
Updated2026-05-25
Maintainerethicalabs
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.50.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Context / RAM
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Likes
Saba2 3B128K / 6.2 GB240
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BastiAI 2 Instruct32K / 6.2 GB2280
FlameDesigner Qwen2.5 3B V132K / 6.2 GB2330
Chirp 0132K / 6.2 GB714
Menda 3B 50032K / 6.2 GB160
Note: green Score (e.g. "73.2") means that the model is better than ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct.

Rank the Kurtis E1.1 Qwen2.5 3B 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