What are the hardware requirements for Qwen3.8 Whittle MoE 27B A17.8B?

Qwen3.8 Whittle MoE 27B A17.8B requires approximately 53.8 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 Qwen3.8 Whittle MoE 27B A17.8B and how large is it?

Qwen3.8 Whittle MoE 27B A17.8B is developed by logic65, a model with 26.9b 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 Qwen3.8 Whittle MoE 27B A17.8B?

Qwen3.8 Whittle MoE 27B A17.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 Whittle MoE 27B A17.8B by logic65 — VRAM 53.8GB, 256K context

Name: Qwen3.8 Whittle MoE 27B A17.8B
Author: logic65

Qwen3.8 Whittle MoE 27B A17.8B is an open-source language model by logic65. Features: 26.9b LLM, VRAM: 53.8GB, Context: 256K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.35.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Conversational Endpoints compatible Gguf Mixture-of-experts Moe Q4 Quantized Qwen3.5 Qwen3 5 moe Region:us Research-preview Router-healing Safetensors Sharded Tensorflow Whittle

Model Card on HF 🤗: https://huggingface.co/logic65/Qwen3.8-Whittle-MoE-27B-A17.8B

Qwen3.8 Whittle MoE 27B A17.8B Parameters and Internals

LLM Name	Qwen3.8 Whittle MoE 27B A17.8B
Repository 🤗	https://huggingface.co/logic65/Qwen3.8-Whittle-MoE-27B-A17.8B
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	26.9b
Required VRAM	53.8 GB
Updated	2026-08-19
Maintainer	logic65
Model Type	qwen3_5_moe
Model Files	17.4 GB 28.7 GB 2.5 GB: 1-of-15 4.0 GB: 2-of-15 3.9 GB: 3-of-15 4.0 GB: 4-of-15 3.9 GB: 5-of-15 3.9 GB: 6-of-15 4.0 GB: 7-of-15 4.0 GB: 8-of-15 4.0 GB: 9-of-15 3.8 GB: 10-of-15 3.9 GB: 11-of-15 3.9 GB: 12-of-15 3.8 GB: 13-of-15 4.0 GB: 14-of-15 0.2 GB: 15-of-15 17.4 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Qwen3_5MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
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