What are the hardware requirements for Qwen3.8 Flash Next ABLITERATED FP8?

Qwen3.8 Flash Next ABLITERATED FP8 requires approximately 64.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next ABLITERATED FP8 and how large is it?

Qwen3.8 Flash Next ABLITERATED FP8 is developed by dealignai, a model with 180b 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 Flash Next ABLITERATED FP8?

Qwen3.8 Flash Next ABLITERATED FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 Flash Next ABLITERATED FP8 by dealignai — VRAM 64.7GB

Name: Qwen3.8 Flash Next ABLITERATED FP8
Author: dealignai

Qwen3.8 Flash Next ABLITERATED FP8 is an open-source language model by dealignai. Features: 180b LLM, VRAM: 64.7GB, License: other, LLM Explorer Score: 0.3.

Abliterated Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Conversational Fp8 Image-text-to-text Mtp Multimodal Qwen Qwen4 exp Reasoning Region:us Safetensors Sharded Tensorflow Uncensored Vllm

Model Card on HF 🤗: https://huggingface.co/dealignai/Qwen3.8-Flash-Next-ABLITERATED-FP8

Qwen3.8 Flash Next ABLITERATED FP8 Parameters and Internals

LLM Name	Qwen3.8 Flash Next ABLITERATED FP8
Repository 🤗	https://huggingface.co/dealignai/Qwen3.8-Flash-Next-ABLITERATED-FP8
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	180b
Required VRAM	64.7 GB
Updated	2026-08-30
Maintainer	dealignai
Model Type	qwen4_exp
Model Files	1.0 GB: 1-of-131 1.7 GB: 2-of-131 1.0 GB: 3-of-131 1.7 GB: 4-of-131 1.7 GB: 5-of-131 1.6 GB: 6-of-131 1.6 GB: 7-of-131 1.6 GB: 8-of-131 1.6 GB: 9-of-131 1.6 GB: 10-of-131 1.6 GB: 11-of-131 1.6 GB: 12-of-131 1.6 GB: 13-of-131 1.6 GB: 14-of-131 1.6 GB: 15-of-131 1.6 GB: 16-of-131 1.6 GB: 17-of-131 1.6 GB: 18-of-131 1.6 GB: 19-of-131 1.6 GB: 20-of-131 1.6 GB: 21-of-131 1.6 GB: 22-of-131 1.6 GB: 23-of-131 1.6 GB: 24-of-131 1.6 GB: 25-of-131 1.6 GB: 26-of-131 1.6 GB: 27-of-131 1.6 GB: 28-of-131 1.6 GB: 29-of-131 1.6 GB: 30-of-131 1.6 GB: 31-of-131 1.6 GB: 32-of-131 1.6 GB: 33-of-131 1.6 GB: 34-of-131 1.6 GB: 35-of-131 1.6 GB: 36-of-131 0.9 GB: 37-of-131 1.7 GB: 38-of-131 0.9 GB: 39-of-131 1.7 GB: 40-of-131 1.1 GB: 41-of-131 1.7 GB: 42-of-131
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 Flash Next ABLITERATED FP8 capabilities

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Instruction Following and Task Automation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Qwen3.8 Flash Next ABLITERATED FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Flash Next	0K / 129.5 GB	4810	3918
Qwen3.8 Flash Next FP8	0K / 65.7 GB	2219	117
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	6043	22
Qwen3.8 Flash Next Nota NVFP4	0K / 18.7 GB	196	20
Qwen3.8 Flash Next FP8	0K / 65.7 GB	185	30
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	541	6
... Flash Next Heretic 2 OQ4e Mtp	0K / 106.4 GB	315	1
Qwen3.8 Flash Next	0K / 129.5 GB	88	10
...en3.8 Flash Next DERISKED BF16	0K / 129.5 GB	178	2
Qwen3.8 Flash Next OQ5e Mtp	0K / 128.6 GB	14	4

Note: green Score (e.g. "73.2") means that the model is better than dealignai/Qwen3.8-Flash-Next-ABLITERATED-FP8.