What are the hardware requirements for Qwen3.6 28B REAP?

Qwen3.6 28B REAP requires approximately 56.5 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 28B REAP and how large is it?

Qwen3.6 28B REAP is developed by 0xSero, a model with 28.2b 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 Qwen3.6 28B REAP?

Qwen3.6 28B REAP is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 28B REAP by 0xSero — VRAM 56.5GB, 256K context

Name: Qwen3.6 28B REAP
Author: 0xSero

Qwen3.6 28B REAP is an open-source language model by 0xSero. Features: 28.2b LLM, VRAM: 56.5GB, Context: 256K, License: apache-2.0, MoE, LLM Explorer Score: 0.27.

Arxiv:2510.13999 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-35b-a3... Conversational Endpoints compatible Expert-pruning Mixture-of-experts Moe Pruned Qwen3.6 Qwen3 5 moe Qwen3 5 moe text Reap Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/0xSero/Qwen3.6-28B-REAP

Qwen3.6 28B REAP Parameters and Internals

LLM Name	Qwen3.6 28B REAP
Repository 🤗	https://huggingface.co/0xSero/Qwen3.6-28B-REAP
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	28.2b
Required VRAM	56.5 GB
Updated	2026-05-13
Maintainer	0xSero
Model Type	qwen3_5_moe_text
Model Files	49.7 GB: 1-of-2 6.8 GB: 2-of-2
Model Architecture	Qwen3_5MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.4
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.6 28B REAP 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 Qwen3.6 28B REAP

Best Alternatives	Context / RAM	Downloads	Likes
...EAP Opus Reasoning Distill MTP	256K / 56.5 GB	74	0