What are the hardware requirements for Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL?

Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL 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 Huihui Abliterated NVFP4 MTP VL and how large is it?

Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL is developed by lyf, 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 Huihui Abliterated NVFP4 MTP VL?

Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL by lyf — VRAM 19.8GB

Name: Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL
Author: lyf

Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL is an open-source language model by lyf. Features: 27b LLM, VRAM: 19.8GB, License: apache-2.0, LLM Explorer Score: 0.29.

8-bit Abliterated Base model:huihui-ai/huihui-qw... Base model:quantized:huihui-ai... Blackwell Compressed-tensors Conversational En Endpoints compatible Image-text-to-text Mtp Multimodal Nvfp4 Qwen3.8 Qwen3 5 Reasoning Region:us Rtx-5090 Safetensors Sharded Sm120 Speculative-decoding Tensorflow Tool-calling Video Vision Vllm Zh

Model Card on HF 🤗: https://huggingface.co/lyf/Qwen3.8-27B-Huihui-Abliterated-NVFP4-MTP-VL

Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL Parameters and Internals

LLM Name	Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL
Repository 🤗	https://huggingface.co/lyf/Qwen3.8-27B-Huihui-Abliterated-NVFP4-MTP-VL
Base Model(s)	huihui-ai/Huihui-Qwen3.8-27B-abliterated huihui-ai/Huihui-Qwen3.8-27B-abliterated
Model Size	27b
Required VRAM	19.8 GB
Updated	2026-08-21
Maintainer	lyf
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	5.7.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B Huihui Abliterated NVFP4 MTP VL 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 Huihui Abliterated NVFP4 MTP VL

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2727	21
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
Qwen3.8 27B Escha W2	0K / 10.1 GB	561	97
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
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 lyf/Qwen3.8-27B-Huihui-Abliterated-NVFP4-MTP-VL.