What are the hardware requirements for MoE Out Merge?

MoE Out Merge requires approximately 38.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MoE Out Merge and how large is it?

MoE Out Merge is developed by khoantap, a model with 19.3b 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 MoE Out Merge?

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

MoE Out Merge by khoantap — VRAM 38.5GB, 128K context

Name: MoE Out Merge
Author: khoantap

MoE Out Merge is an open-source language model by khoantap. Features: 19.3b LLM, VRAM: 38.5GB, Context: 128K, MoE, LLM Explorer Score: 0.22.

Arxiv:1910.09700 Conversational Endpoints compatible Moe Qwen2 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/khoantap/moe-out-merge

MoE Out Merge Parameters and Internals

LLM Name	MoE Out Merge
Repository 🤗	https://huggingface.co/khoantap/moe-out-merge
Model Size	19.3b
Required VRAM	38.5 GB
Updated	2026-08-03
Maintainer	khoantap
Model Type	qwen2_moe
Model Files	4.9 GB: 1-of-8 4.9 GB: 2-of-8 5.0 GB: 3-of-8 4.9 GB: 4-of-8 4.9 GB: 5-of-8 5.0 GB: 6-of-8 4.9 GB: 7-of-8 4.0 GB: 8-of-8
Model Architecture	Qwen2MoeForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|begin_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the MoE Out Merge capabilities

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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 MoE Out Merge

Best Alternatives	Context / RAM	Downloads	Likes
Cheap MoE Merge	128K / 38.5 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than khoantap/moe-out-merge.