What are the hardware requirements for WavGPT 1.5?

WavGPT 1.5 requires approximately 6.4 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 WavGPT 1.5 and how large is it?

WavGPT 1.5 is developed by Hack337, a model with 3b 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 WavGPT 1.5?

WavGPT 1.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WavGPT 1.5 by Hack337 — VRAM 6.4GB, 32K context

Name: WavGPT 1.5
Author: Hack337

WavGPT 1.5 is an open-source language model by Hack337. Features: 3b LLM, VRAM: 6.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Ara Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-3b-ins... Conversational Deu Eng Fra Instruct Ita Jpn Kor Peft Por Qwen2 Region:us Rus Safetensors Sharded Spa Tensorflow Tha Vie Zho

Model Card on HF 🤗: https://huggingface.co/Hack337/WavGPT-1.5

WavGPT 1.5 Parameters and Internals

Model Type

text generation

LLM Name	WavGPT 1.5
Repository 🤗	https://huggingface.co/Hack337/WavGPT-1.5
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.4 GB
Updated	2026-06-26
Maintainer	Hack337
Model Type	qwen2
Instruction-Based	Yes
Model Files	0.6 GB: 1-of-16 0.4 GB: 2-of-16 0.4 GB: 3-of-16 0.4 GB: 4-of-16 0.4 GB: 5-of-16 0.4 GB: 6-of-16 0.4 GB: 7-of-16 0.4 GB: 8-of-16 0.4 GB: 9-of-16 0.4 GB: 10-of-16 0.4 GB: 11-of-16 0.4 GB: 12-of-16 0.4 GB: 13-of-16 0.4 GB: 14-of-16 0.4 GB: 15-of-16 0.2 GB: 16-of-16
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the WavGPT 1.5 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 WavGPT 1.5

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B	128K / 6.2 GB	361	0
Saba2 3B	128K / 6.2 GB	6	0
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Qwen2.5 3B Instruct	32K / 6.2 GB	5889234	545
AetherSearch SFT	32K / 6.2 GB	493	1
SearchQwen2.5 3B	32K / 6.8 GB	444	3
...er 3B Instruct Spider Sft Grpo	32K / 6.2 GB	901	1
TRACE Mix Qwen2.5 3B Instruct	32K / 6.8 GB	361	2

Note: green Score (e.g. "73.2") means that the model is better than Hack337/WavGPT-1.5.