What are the hardware requirements for Qwopus3.8 27B Flash V2?

Qwopus3.8 27B Flash V2 requires approximately 55.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwopus3.8 27B Flash V2 and how large is it?

Qwopus3.8 27B Flash V2 is developed by Jackrong, a model with 27b 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 Qwopus3.8 27B Flash V2?

Qwopus3.8 27B Flash V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwopus3.8 27B Flash V2 by Jackrong — VRAM 55.6GB

Name: Qwopus3.8 27B Flash V2
Author: Jackrong

Qwopus3.8 27B Flash V2 is an open-source language model by Jackrong. Features: 27b LLM, VRAM: 55.6GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

27b Agent Agentic Base model:finetune:jackrong/q... Base model:jackrong/qwopus3.8-... Code-generation Conversational En Endpoints compatible Es Finetuned Function-calling Image-text-to-text Instruct Instruction-tuned Ja Local-inference Mtp Multimodal Qwen Qwen3 Qwen3 5 Reasoning Region:us Ru Safetensors Sharded Speculative-decoding Tensorflow Tool-use Unsloth Vision Zh

Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwopus3.8-27B-Flash-V2

Qwopus3.8 27B Flash V2 Parameters and Internals

LLM Name	Qwopus3.8 27B Flash V2
Repository 🤗	https://huggingface.co/Jackrong/Qwopus3.8-27B-Flash-V2
Model Name	/home/llm/.cache/huggingface/hub/models--unsloth--Qwen3.8-27B/snapshots/3ea932cee0a432ae86e9c7826cbe8aef52323a28
Base Model(s)	Jackrong/Qwopus3.8-27B-Flash Jackrong/Qwopus3.8-27B-Flash
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-09-23
Maintainer	Jackrong
Model Type	qwen3_5
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-18 3.0 GB: 2-of-18 2.5 GB: 3-of-18 4.0 GB: 4-of-18 2.1 GB: 5-of-18 4.0 GB: 6-of-18 2.1 GB: 7-of-18 4.0 GB: 8-of-18 2.1 GB: 9-of-18 4.0 GB: 10-of-18 2.1 GB: 11-of-18 4.0 GB: 12-of-18 2.1 GB: 13-of-18 4.0 GB: 14-of-18 2.1 GB: 15-of-18 4.0 GB: 16-of-18 2.1 GB: 17-of-18 3.4 GB: 18-of-18
Supported Languages	en zh es ru ja
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwopus3.8 27B Flash V2 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

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