What are the hardware requirements for Qwen3.8 27B NVFP4 DGX SPARK V2?

Qwen3.8 27B NVFP4 DGX SPARK V2 requires approximately 19.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B NVFP4 DGX SPARK V2 and how large is it?

Qwen3.8 27B NVFP4 DGX SPARK V2 is developed by autotrust, 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 NVFP4 DGX SPARK V2?

Qwen3.8 27B NVFP4 DGX SPARK V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B NVFP4 DGX SPARK V2 by autotrust — VRAM 19.8GB

Name: Qwen3.8 27B NVFP4 DGX SPARK V2
Author: autotrust

Qwen3.8 27B NVFP4 DGX SPARK V2 is an open-source language model by autotrust. Features: 27b LLM, VRAM: 19.8GB, License: apache-2.0, LLM Explorer Score: 0.51.

8-bit B200 Blackwell Conversational Dgx-spark En Fp4 Modelopt Mtp Nvfp4 Qwen3.8 Qwen3 5 Region:us Safetensors Sharded Speculative-decoding Tensorflow Vllm Zh

Model Card on HF 🤗: https://huggingface.co/autotrust/Qwen3.8-27B-NVFP4-DGX-SPARK-V2

Qwen3.8 27B NVFP4 DGX SPARK V2 Parameters and Internals

LLM Name	Qwen3.8 27B NVFP4 DGX SPARK V2
Repository 🤗	https://huggingface.co/autotrust/Qwen3.8-27B-NVFP4-DGX-SPARK-V2
Model Size	27b
Required VRAM	19.8 GB
Updated	2026-10-31
Maintainer	autotrust
Model Type	qwen3_5
Model Files	10.0 GB: 1-of-2 9.8 GB: 2-of-2 0.8 GB
Supported Languages	en zh
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.9.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Errors	replace

Rank the Qwen3.8 27B NVFP4 DGX SPARK V2 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 NVFP4 DGX SPARK V2

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	86	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	22043	2237
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419

Note: green Score (e.g. "73.2") means that the model is better than autotrust/Qwen3.8-27B-NVFP4-DGX-SPARK-V2.