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

Huihui Qwen3.8 27B Abliterated NVFP4 requires approximately 24.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Huihui Qwen3.8 27B Abliterated NVFP4 and how large is it?

Huihui Qwen3.8 27B Abliterated NVFP4 is developed by TelperionAI, 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 Huihui Qwen3.8 27B Abliterated NVFP4?

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

Huihui Qwen3.8 27B Abliterated NVFP4 by TelperionAI — VRAM 24.7GB

Name: Huihui Qwen3.8 27B Abliterated NVFP4
Author: TelperionAI

Huihui Qwen3.8 27B Abliterated NVFP4 is an open-source language model by TelperionAI. Features: 27b LLM, VRAM: 24.7GB, License: apache-2.0, LLM Explorer Score: 0.31.

Abliterated Autoround Awq Base model:huihui-ai/huihui-qw... Base model:quantized:huihui-ai... Compressed-tensors Conversational Endpoints compatible Fp4 Image-text-to-text Llm-compressor Nvfp4 Qwen3 5 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/TelperionAI/Huihui-Qwen3.8-27B-abliterated-NVFP4

Huihui Qwen3.8 27B Abliterated NVFP4 Parameters and Internals

LLM Name	Huihui Qwen3.8 27B Abliterated NVFP4
Repository 🤗	https://huggingface.co/TelperionAI/Huihui-Qwen3.8-27B-abliterated-NVFP4
Base Model(s)	huihui-ai/Huihui-Qwen3.8-27B-abliterated huihui-ai/Huihui-Qwen3.8-27B-abliterated
Model Size	27b
Required VRAM	24.7 GB
Updated	2026-08-28
Maintainer	TelperionAI
Model Type	qwen3_5
Model Files	20.0 GB: 1-of-3 3.9 GB: 2-of-3 0.8 GB: 3-of-3
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

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

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 TelperionAI/Huihui-Qwen3.8-27B-abliterated-NVFP4.