What are the hardware requirements for MioTTS 1.7B?

MioTTS 1.7B requires approximately 3.5 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 MioTTS 1.7B and how large is it?

MioTTS 1.7B is developed by Aratako, a model with 1.7b 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 MioTTS 1.7B?

MioTTS 1.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MioTTS 1.7B by Aratako — VRAM 3.5GB, 32K context

Name: MioTTS 1.7B
Author: Aratako

MioTTS 1.7B is an open-source language model by Aratako. Features: 1.7b LLM, VRAM: 3.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b-bas... Dataset:amphion/emilia-dataset Dataset:nvidia/hifitts-2 En Endpoints compatible Ja Qwen3 Region:us Safetensors Speech Text-to-speech Tts Voice

Model Card on HF 🤗: https://huggingface.co/Aratako/MioTTS-1.7B

MioTTS 1.7B Parameters and Internals

LLM Name	MioTTS 1.7B
Repository 🤗	https://huggingface.co/Aratako/MioTTS-1.7B
Base Model(s)	Qwen/Qwen3-1.7B-Base Qwen/Qwen3-1.7B-Base
Model Size	1.7b
Required VRAM	3.5 GB
Updated	2026-08-09
Maintainer	Aratako
Model Type	qwen3
Model Files	3.5 GB
Supported Languages	ja en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	164480
Errors	replace

Rank the MioTTS 1.7B 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 MioTTS 1.7B

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	204	1
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1798	0
Atomight V2.5 1.7B	40K / 3.4 GB	1406	1
... 1.7B Base MED ChatVector 0812	40K / 3.4 GB	49	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	46	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	44	1

Note: green Score (e.g. "73.2") means that the model is better than Aratako/MioTTS-1.7B.