What are the hardware requirements for Qwen3.5 264B REAP?

Qwen3.5 264B REAP requires approximately 526.9 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 Qwen3.5 264B REAP and how large is it?

Qwen3.5 264B REAP is developed by 0xSero, a model with 263.4b 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 Qwen3.5 264B REAP?

Qwen3.5 264B REAP is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 264B REAP by 0xSero — VRAM 526.9GB, 256K context

Name: Qwen3.5 264B REAP
Author: 0xSero

Qwen3.5 264B REAP is an open-source language model by 0xSero. Features: 263.4b LLM, VRAM: 526.9GB, Context: 256K, License: apache-2.0, MoE, LLM Explorer Score: 0.26.

Arxiv:2510.13999 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-397b-a... Conversational Dataset:open-r1/mixture-of-tho... Dataset:salesforce/xlam-functi... Dataset:swe-bench/swe-smith-tr... Dataset:theblackcat102/evol-co... Endpoints compatible Expert-pruning Mixture-of-experts Moe Qwen3 5 moe text Reap Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/0xSero/Qwen3.5-264B-REAP

Qwen3.5 264B REAP Parameters and Internals

LLM Name	Qwen3.5 264B REAP
Repository 🤗	https://huggingface.co/0xSero/Qwen3.5-264B-REAP
Base Model(s)	Qwen/Qwen3.5-397B-A17B Qwen/Qwen3.5-397B-A17B
Model Size	263.4b
Required VRAM	526.9 GB
Updated	2026-05-13
Maintainer	0xSero
Model Type	qwen3_5_moe_text
Model Files	47.9 GB: 1-of-11 46.4 GB: 2-of-11 49.4 GB: 3-of-11 46.4 GB: 4-of-11 49.2 GB: 5-of-11 46.6 GB: 6-of-11 49.5 GB: 7-of-11 46.2 GB: 8-of-11 49.7 GB: 9-of-11 46.4 GB: 10-of-11 49.2 GB: 11-of-11
Model Architecture	Qwen3_5MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

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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 Qwen3.5 264B REAP

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 264B	256K / 526.9 GB	40	1