What are the hardware requirements for Kurtis E1.1 Qwen2.5 0.5B Instruct?

Kurtis E1.1 Qwen2.5 0.5B Instruct requires approximately 1.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kurtis E1.1 Qwen2.5 0.5B Instruct and how large is it?

Kurtis E1.1 Qwen2.5 0.5B Instruct is developed by ethicalabs, a model with 0.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Kurtis E1.1 Qwen2.5 0.5B Instruct?

Kurtis E1.1 Qwen2.5 0.5B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kurtis E1.1 Qwen2.5 0.5B Instruct by ethicalabs — VRAM 1.2GB, 32K context

Name: Kurtis E1.1 Qwen2.5 0.5B Instruct
Author: ethicalabs

Kurtis E1.1 Qwen2.5 0.5B Instruct is an open-source language model by ethicalabs. Features: 0.5b LLM, VRAM: 1.2GB, Context: 32K, License: mit, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i... Conversational Dataset:ethicalabs/kurtis-e1-s... En Endpoints compatible Instruct Qwen2 Region:eu Safetensors

Model Card on HF 🤗: https://huggingface.co/ethicalabs/Kurtis-E1.1-Qwen2.5-0.5B-Instruct

Kurtis E1.1 Qwen2.5 0.5B Instruct Parameters and Internals

LLM Name	Kurtis E1.1 Qwen2.5 0.5B Instruct
Repository 🤗	https://huggingface.co/ethicalabs/Kurtis-E1.1-Qwen2.5-0.5B-Instruct
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	1.2 GB
Updated	2026-07-26
Maintainer	ethicalabs
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Kurtis E1.1 Qwen2.5 0.5B 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

Best Alternatives to Kurtis E1.1 Qwen2.5 0.5B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Abyme Merge3	128K / 1.3 GB	51	1
Qwen2 0.5B Abyme Merge2	128K / 0.3 GB	45	0
Qwen2.5 0.5B Instruct	64K / 1 GB	16	0
Qwen2.5 0.5B Instruct	32K / 1 GB	6324790	572
... Math ProcessGRPO Qwen2.5 0.5B	32K / 1 GB	579	1
Qwen2.5 0.5B Abliterated	32K / 1.3 GB	1450	1
Switchboard Router 0.5B	32K / 1 GB	510	2
Temper 2 Ion	32K / 1 GB	256	0
Seger Qwen2.5 0.5B	32K / 1 GB	599	0
Qwen2.5 0.5B Grounded Sft	32K / 1 GB	728	1

Note: green Score (e.g. "73.2") means that the model is better than ethicalabs/Kurtis-E1.1-Qwen2.5-0.5B-Instruct.