What are the hardware requirements for Dict Xs?

Dict Xs requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dict Xs and how large is it?

Dict Xs is developed by ikhou, a model with 0.6b 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 Dict Xs?

Dict Xs is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dict Xs by ikhou — VRAM 1.2GB, 40K context

Name: Dict Xs
Author: ikhou

Dict Xs is an open-source language model by ikhou. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.22.

Am Ar Az Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Bg Bilingual Bn Ca Conversational Cs Da Dataset:huggingfacefw/fineweb Dataset:huggingfacefw/fineweb-... De Dictionary El En Endpoints compatible Es Et Fa Fi Fil Fr Glossing He Hi Hr Hu Id It Ja Kk Ko Lt Lv Mr Ms Multilingual Nl No Pl Pt Qwen3 Region:us Ro Ru Safetensors Sk Sl Sr Sv Sw Ta Te Tensorboard Th Tr Translation Uk Ur Uz Vi Vocabulary Yo Zh

Model Card on HF 🤗: https://huggingface.co/ikhou/dict-xs

Dict Xs Parameters and Internals

LLM Name	Dict Xs
Repository 🤗	https://huggingface.co/ikhou/dict-xs
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-14
Maintainer	ikhou
Model Type	qwen3
Model Files	1.2 GB 0.0 GB
Supported Languages	en de fr es it pt nl pl sv da fi cs ro hu ca ru uk bg sr el zh ja ko hi bn ur ta te mr th vi id ms ar fa tr he sw am yo lt sl et lv sk hr az kk uz
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Dict Xs capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Dict Xs

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Quipu 0.6B	40K / 1.2 GB	351	4
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Qwen3 Finetuned	40K / 1.2 GB	98	1
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Privasis Cleaner 0.6B	40K / 1.2 GB	70	0
Qwen3 0.6B Sushi Code Expert	40K / 1.5 GB	40	0
Qwen 0.6B ConvFill	40K / 1.2 GB	106	0
Qwen3 0.6B	40K / 1.2 GB	99924	22
Palindrome Sft Qwen3	40K / 2.4 GB	141	0

Note: green Score (e.g. "73.2") means that the model is better than ikhou/dict-xs.