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: 0.27.

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
Qwen3.8 Flash Next JANG 4S	0K / 77.2 GB	668	1
...en3.8 Flash Next CRACK JANG 2L	0K / 70.2 GB	493	1
...wen3.8 Flash Next MLX 4bit MTP	0K / 112.8 GB	4460	12
...en3.8 Flash Next OQ4e Fp16 Mtp	0K / 107.6 GB	387	2
...3.8 Flash Next OQ3.5e Fp16 Mtp	0K / 90.7 GB	766	1
...3.8 Flash Next OQ2.5e Fp16 Mtp	0K / 83.6 GB	213	3
...wen3.8 Flash Next MLX 4bit MTP	0K / 112.8 GB	1643	5
...en3.8 Flash Next OQ4e Fp16 Mtp	0K / 107.3 GB	746	2
...n3.8 Flash Next GSQ RCO Q2 Mlx	0K / 4.8 GB	445	2
Qwen3.8 Flash Next 4bit Mtp	0K / 112.9 GB	540	3

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