What are the hardware requirements for Spark Tts Nexvox V14 16bit?

Spark Tts Nexvox V14 16bit requires approximately 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 Spark Tts Nexvox V14 16bit and how large is it?

Spark Tts Nexvox V14 16bit is developed by crestai, a model with 506.6m 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 Spark Tts Nexvox V14 16bit?

Spark Tts Nexvox V14 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spark Tts Nexvox V14 16bit by crestai — VRAM 2GB, 32K context

Name: Spark Tts Nexvox V14 16bit
Author: crestai

Spark Tts Nexvox V14 16bit is an open-source language model by crestai. Features: 506.6m LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

16bit Base model:crestai/spark-tts-n... Base model:finetune:crestai/sp... Conversational En Endpoints compatible Quantized Qwen2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/crestai/spark-tts-nexvox_v14_16bit

Spark Tts Nexvox V14 16bit Parameters and Internals

LLM Name	Spark Tts Nexvox V14 16bit
Repository 🤗	https://huggingface.co/crestai/spark-tts-nexvox_v14_16bit
Model Name	Spark-TTS-0.5B/LLM
Base Model(s)	Spark Tts Nexvox V14 16bit crestai/spark-tts-nexvox_v14_16bit
Model Size	506.6m
Required VRAM	2 GB
Updated	2026-03-31
Maintainer	crestai
Model Type	qwen2
Model Files	2.0 GB
Supported Languages	en
Quantization Type	16bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	166000
Torch Data Type	float32
Errors	replace

Rank the Spark Tts Nexvox V14 16bit 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

Quantized Models of the Spark Tts Nexvox V14 16bit

Model	Likes	Downloads	VRAM
Spark Tts Nexvox V14 16bit	0	298	2 GB

Best Alternatives to Spark Tts Nexvox V14 16bit

Best Alternatives	Context / RAM	Downloads
Spark Tts Arabic V1	32K / 0 GB	274
... Emotion Transfert Exp3 Merged	32K / 2 GB	8
... Emotion Transfert Exp2 Merged	32K / 2 GB	13

Note: green Score (e.g. "73.2") means that the model is better than crestai/spark-tts-nexvox_v14_16bit.