What are the hardware requirements for Qwen3.8 Flash Next OQ4e Mtp?

Qwen3.8 Flash Next OQ4e Mtp requires approximately 106.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next OQ4e Mtp and how large is it?

Qwen3.8 Flash Next OQ4e Mtp is developed by Jundot, 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 OQ4e Mtp?

Qwen3.8 Flash Next OQ4e Mtp 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 OQ4e Mtp by Jundot — VRAM 106.4GB

Name: Qwen3.8 Flash Next OQ4e Mtp
Author: Jundot

Qwen3.8 Flash Next OQ4e Mtp is an open-source language model by Jundot. Features: 180b LLM, VRAM: 106.4GB, License: other, LLM Explorer Score: 0.37.

4-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Conversational Image-text-to-text Mlx Mtp Oq Quantized Qwen4 exp Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Jundot/Qwen3.8-Flash-Next-oQ4e-mtp

Qwen3.8 Flash Next OQ4e Mtp Parameters and Internals

LLM Name	Qwen3.8 Flash Next OQ4e Mtp
Repository 🤗	https://huggingface.co/Jundot/Qwen3.8-Flash-Next-oQ4e-mtp
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	180b
Required VRAM	106.4 GB
Updated	2026-10-14
Maintainer	Jundot
Model Type	qwen4_exp
Model Files	5.0 GB: 1-of-21 5.0 GB: 2-of-21 5.0 GB: 3-of-21 5.0 GB: 4-of-21 5.0 GB: 5-of-21 5.0 GB: 6-of-21 5.0 GB: 7-of-21 5.2 GB: 8-of-21 5.2 GB: 9-of-21 5.2 GB: 10-of-21 5.2 GB: 11-of-21 5.2 GB: 12-of-21 5.2 GB: 13-of-21 5.2 GB: 14-of-21 5.2 GB: 15-of-21 5.2 GB: 16-of-21 5.2 GB: 17-of-21 5.2 GB: 18-of-21 5.2 GB: 19-of-21 5.2 GB: 20-of-21 3.8 GB: 21-of-21
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 OQ4e Mtp capabilities

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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 OQ4e Mtp

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Flash Next	0K / 129.5 GB	4810	3918
Darwin 180B RSI	0K / 119 GB	353	94
CYBER FROST 3.8 BF16	0K / 124.3 GB	1824	63
...Qwen3.8 Flash Next Abliterated	0K / 129.5 GB	493	42
Qwen3.8 Flash Next FP8	0K / 65.7 GB	2219	117
Tinfield 1	0K / 129.5 GB	577	41
Agnes 3.0 Qwen	0K / 155.9 GB	100	7
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	6043	22
Qwen3.8 Flash Next NVFP4	0K / 180.8 GB	1503	35
Darwin 180B RSI R3	0K / 127.7 GB	151	7

Note: green Score (e.g. "73.2") means that the model is better than Jundot/Qwen3.8-Flash-Next-oQ4e-mtp.