What are the hardware requirements for Qupus Tts 0.8Bs?

Qupus Tts 0.8Bs 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 Qupus Tts 0.8Bs and how large is it?

Qupus Tts 0.8Bs is developed by Nikya, a model with 0.8b 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 Qupus Tts 0.8Bs?

Qupus Tts 0.8Bs is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qupus Tts 0.8Bs by Nikya — VRAM 1.2GB, 32K context

Name: Qupus Tts 0.8Bs
Author: Nikya

Qupus Tts 0.8Bs is an open-source language model by Nikya. Features: 0.8b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.25.

Base model:finetune:nikya/qwen... Base model:nikya/qwen-snac-tts... En Endpoints compatible Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Nikya/qupus_tts_0.8Bs

Qupus Tts 0.8Bs Parameters and Internals

LLM Name	Qupus Tts 0.8Bs
Repository 🤗	https://huggingface.co/Nikya/qupus_tts_0.8Bs
Model Name	Nikya/qupus_tts_0.8Bs
Base Model(s)	Nikya/qwen-snac-tts-0.8B Nikya/qwen-snac-tts-0.8B
Model Size	0.8b
Required VRAM	1.2 GB
Updated	2026-06-29
Maintainer	Nikya
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	163960
Errors	replace

Rank the Qupus Tts 0.8Bs 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 Qupus Tts 0.8Bs

Best Alternatives	Context / RAM	Downloads	Likes
...ason 0.8B Pretrain Competition	40K / 1.6 GB	37745	27
V15 User Logic Json Lr15e6	40K / 1.6 GB	492	0
V07 Final Only Lr2e5	40K / 1.6 GB	291	0
V12 User Cot Focus Lr15e6	40K / 1.6 GB	63	0

Note: green Score (e.g. "73.2") means that the model is better than Nikya/qupus_tts_0.8Bs.