What are the hardware requirements for Badqwenmerge?

Badqwenmerge requires approximately 68.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Badqwenmerge and how large is it?

Badqwenmerge is developed by alphyreal, a model with 35.1b 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 Badqwenmerge?

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

Badqwenmerge by alphyreal — VRAM 68.5GB

Name: Badqwenmerge
Author: alphyreal

Badqwenmerge is an open-source language model by alphyreal. Features: 35.1b LLM, VRAM: 68.5GB, License: apache-2.0, LLM Explorer Score: 0.28.

Conversational Endpoints compatible Image-text-to-text Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/alphyreal/badqwenmerge

Badqwenmerge Parameters and Internals

LLM Name	Badqwenmerge
Repository 🤗	https://huggingface.co/alphyreal/badqwenmerge
Model Size	35.1b
Required VRAM	68.5 GB
Updated	2026-11-10
Maintainer	alphyreal
Model Type	qwen3_5_moe
Model Files	1.1 GB: 1-of-45 1.7 GB: 2-of-45 2.1 GB: 3-of-45 2.1 GB: 4-of-45 1.7 GB: 5-of-45 1.7 GB: 6-of-45 1.7 GB: 7-of-45 1.6 GB: 8-of-45 1.7 GB: 9-of-45 1.1 GB: 10-of-45 1.7 GB: 11-of-45 1.1 GB: 12-of-45 1.1 GB: 13-of-45 1.2 GB: 14-of-45 1.7 GB: 15-of-45 1.6 GB: 16-of-45 1.2 GB: 17-of-45 2.1 GB: 18-of-45 1.8 GB: 19-of-45 1.1 GB: 20-of-45 1.7 GB: 21-of-45 1.1 GB: 22-of-45 1.7 GB: 23-of-45 1.7 GB: 24-of-45 1.7 GB: 25-of-45 1.6 GB: 26-of-45 1.7 GB: 27-of-45 1.7 GB: 28-of-45 1.7 GB: 29-of-45 2.1 GB: 30-of-45 1.7 GB: 31-of-45 1.8 GB: 32-of-45 1.6 GB: 33-of-45 1.1 GB: 34-of-45 1.7 GB: 35-of-45 1.7 GB: 36-of-45 1.7 GB: 37-of-45 1.6 GB: 38-of-45 1.7 GB: 39-of-45 1.7 GB: 40-of-45 1.7 GB: 41-of-45 1.6 GB: 42-of-45 1.1 GB: 43-of-45
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Transformers Version	4.57.1

Rank the Badqwenmerge 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

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Note: green Score (e.g. "73.2") means that the model is better than alphyreal/badqwenmerge.