What are the hardware requirements for Qwen3.8 Flash Next CRACK JANG 6S?

Qwen3.8 Flash Next CRACK JANG 6S requires approximately 114 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next CRACK JANG 6S and how large is it?

Qwen3.8 Flash Next CRACK JANG 6S 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 CRACK JANG 6S?

Qwen3.8 Flash Next CRACK JANG 6S 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 CRACK JANG 6S by dealignai — VRAM 114GB

Name: Qwen3.8 Flash Next CRACK JANG 6S
Author: dealignai

Qwen3.8 Flash Next CRACK JANG 6S is an open-source language model by dealignai. Features: 180b LLM, VRAM: 114GB, License: other, Quantized, LLM Explorer Score: 0.32.

Abliterated Agent Apple-silicon Awq Base model:jangq-ai/qwen3.8-fl... Base model:quantized:jangq-ai/... Conversational Crack En Harmbench Image-text-to-text Imatrix Jang Jang-6s Mlx Mmlu Moe Ngram-embedding Quantized Qwen4 exp Reasoning Region:us Safetensors Sharded Tensorflow Thinking Tool-use Uncensored Video Vision Vision-language Zh

Model Card on HF 🤗: https://huggingface.co/dealignai/Qwen3.8-Flash-Next-CRACK-JANG_6S

Qwen3.8 Flash Next CRACK JANG 6S Parameters and Internals

LLM Name	Qwen3.8 Flash Next CRACK JANG 6S
Repository 🤗	https://huggingface.co/dealignai/Qwen3.8-Flash-Next-CRACK-JANG_6S
Base Model(s)	JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S
Model Size	180b
Required VRAM	114 GB
Updated	2026-09-06
Maintainer	dealignai
Model Type	qwen4_exp
Model Files	5.5 GB: 1-of-26 5.4 GB: 2-of-26 5.4 GB: 3-of-26 5.4 GB: 4-of-26 5.4 GB: 5-of-26 2.7 GB: 6-of-26 5.8 GB: 7-of-26 5.6 GB: 8-of-26 2.3 GB: 9-of-26 5.8 GB: 10-of-26 5.5 GB: 11-of-26 3.0 GB: 12-of-26 5.8 GB: 13-of-26 5.4 GB: 14-of-26 2.9 GB: 15-of-26 5.8 GB: 16-of-26 5.7 GB: 17-of-26 2.3 GB: 18-of-26 5.4 GB: 19-of-26 5.4 GB: 20-of-26 3.4 GB: 21-of-26 5.5 GB: 22-of-26 5.8 GB: 23-of-26 2.2 GB: 24-of-26 0.4 GB: 25-of-26 0.2 GB: 26-of-26
Supported Languages	en zh
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 Flash Next CRACK JANG 6S 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 Flash Next CRACK JANG 6S

Best Alternatives	Context / RAM	Downloads	Likes
...en3.8 Flash Next CRACK JANG 2L	0K / 70.2 GB	493	1
Qwen3.8 Flash Next JANG 4S	0K / 77.2 GB	668	1
...MLX Activation 3bit Native PLE	0K / 34.7 GB	284	1
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
...3.8 Flash Next ABLITERATED FP8	0K / 64.7 GB	254	6

Note: green Score (e.g. "73.2") means that the model is better than dealignai/Qwen3.8-Flash-Next-CRACK-JANG_6S.