What are the hardware requirements for Qwen3.8 27B EXP EVE V1?

Qwen3.8 27B EXP EVE V1 requires approximately 55.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B EXP EVE V1 and how large is it?

Qwen3.8 27B EXP EVE V1 is developed by win10, 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 Qwen3.8 27B EXP EVE V1?

Qwen3.8 27B EXP EVE V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B EXP EVE V1 by win10 — VRAM 55.4GB

Name: Qwen3.8 27B EXP EVE V1
Author: win10

Qwen3.8 27B EXP EVE V1 is an open-source language model by win10. Features: 27b LLM, VRAM: 55.4GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Conversational En Endpoints compatible Eve Evolution Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensor gene evolution Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/win10/Qwen3.8-27B-EXP-EVE-v1

Qwen3.8 27B EXP EVE V1 Parameters and Internals

LLM Name	Qwen3.8 27B EXP EVE V1
Repository 🤗	https://huggingface.co/win10/Qwen3.8-27B-EXP-EVE-v1
Base Model(s)	Qwen/Qwen3.8-27B DeepSeek V4 Flash 0731 Dots3 Note Prev win10/Qwen3.8-27b-EXP-EVE Qwen/Qwen3.8-27B deepseek-ai/DeepSeek-V4-Flash-0731 dots-studio/dots3-note-prev win10/Qwen3.8-27b-EXP-EVE
Model Size	27b
Required VRAM	55.4 GB
Updated	2026-08-27
Maintainer	win10
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-11 5.3 GB: 2-of-11 5.3 GB: 3-of-11 5.3 GB: 4-of-11 5.3 GB: 5-of-11 5.3 GB: 6-of-11 5.3 GB: 7-of-11 5.3 GB: 8-of-11 5.3 GB: 9-of-11 5.3 GB: 10-of-11 2.4 GB: 11-of-11
Supported Languages	en zh
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.15.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B EXP EVE V1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Qwen3.8 27B EXP EVE V1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.5 27B	0K / 55.2 GB	8115	16

Note: green Score (e.g. "73.2") means that the model is better than win10/Qwen3.8-27B-EXP-EVE-v1.