What are the hardware requirements for TransWave?

TransWave requires approximately 0.4 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 TransWave and how large is it?

TransWave is developed by Angshul. 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 TransWave?

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

TransWave by Angshul — VRAM 0.4GB, 32K context

Name: TransWave
Author: Angshul

TransWave is an open-source language model by Angshul. Features: LLM, VRAM: 0.4GB, Context: 32K, License: agpl-3.0.

Attention-free Byte-level Custom code Dataset:allenai/c4 En Meyer Raw-byte Region:us Transwave meyer Wavelet

Model Card on HF 🤗: https://huggingface.co/Angshul/TransWave

TransWave Parameters and Internals

LLM Name	TransWave
Repository 🤗	https://huggingface.co/Angshul/TransWave
Required VRAM	0.4 GB
Updated	2026-10-17
Maintainer	Angshul
Model Type	transwave_meyer
Model Files	0.4 GB
Supported Languages	en
Model Architecture	TransWaveForCausalLM
License	agpl-3.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	TransWaveByteTokenizer
Vocabulary Size	256

Rank the TransWave 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