What are the hardware requirements for WavGPT 2?

WavGPT 2 requires approximately 14.8 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 2 and how large is it?

WavGPT 2 is developed by Hack337, a model with 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 WavGPT 2?

WavGPT 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WavGPT 2 by Hack337 — VRAM 14.8GB, 32K context

Name: WavGPT 2
Author: Hack337

WavGPT 2 is an open-source language model by Hack337. Features: 7b LLM, VRAM: 14.8GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Ara Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-7b-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-2

WavGPT 2 Parameters and Internals

LLM Name	WavGPT 2
Repository 🤗	https://huggingface.co/Hack337/WavGPT-2
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	14.8 GB
Updated	2026-08-06
Maintainer	Hack337
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.1 GB: 1-of-44 0.3 GB: 2-of-44 0.3 GB: 3-of-44 0.3 GB: 4-of-44 0.3 GB: 5-of-44 0.3 GB: 6-of-44 0.3 GB: 7-of-44 0.3 GB: 8-of-44 0.3 GB: 9-of-44 0.3 GB: 10-of-44 0.3 GB: 11-of-44 0.3 GB: 12-of-44 0.3 GB: 13-of-44 0.3 GB: 14-of-44 0.3 GB: 15-of-44 0.3 GB: 16-of-44 0.3 GB: 17-of-44 0.3 GB: 18-of-44 0.3 GB: 19-of-44 0.3 GB: 20-of-44 0.3 GB: 21-of-44 0.3 GB: 22-of-44 0.3 GB: 23-of-44 0.3 GB: 24-of-44 0.3 GB: 25-of-44 0.3 GB: 26-of-44 0.3 GB: 27-of-44 0.3 GB: 28-of-44 0.3 GB: 29-of-44 0.3 GB: 30-of-44 0.3 GB: 31-of-44 0.3 GB: 32-of-44 0.3 GB: 33-of-44 0.3 GB: 34-of-44 0.3 GB: 35-of-44 0.3 GB: 36-of-44 0.3 GB: 37-of-44 0.3 GB: 38-of-44 0.3 GB: 39-of-44 0.3 GB: 40-of-44 0.3 GB: 41-of-44 0.3 GB: 42-of-44 1.1 GB: 43-of-44 0.3 GB: 44-of-44
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.3
Vocabulary Size	152064
Torch Data Type	float16

Rank the WavGPT 2 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 2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than Hack337/WavGPT-2.