What are the hardware requirements for Qwen3.8 Flash Next REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX?

Qwen3.8 Flash Next REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX requires approximately 37.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Qwen3.8 Flash Next REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX?

Qwen3.8 Flash Next REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX 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 REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX by Litwein — VRAM 37.1GB

Name: Qwen3.8 Flash Next REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX
Author: Litwein

Qwen3.8 Flash Next REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX is an open-source language model by Litwein. Features: 80.9b LLM, VRAM: 37.1GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.32.

3-bit Apple-silicon Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Conversational Dataset:agentsea/wave-ui-25k Dataset:allenai/tulu-3-sft-mix... Dataset:bigcode/self-oss-instr... Dataset:detection-datasets/coc... Dataset:huggingfacem4/chartqa Dataset:huggingfacem4/document... Dataset:lmms-lab/textvqa Dataset:nvidia/opencodereasoni... Dataset:open-r1/openr1-math-22... Dataset:open-r1/verifiable-cod... Dataset:open-thoughts/openthou... Dataset:swe-bench/swe-smith-tr... Dwq En Expert-pruning Fp16 Image-text-to-text Instruct M1 M2 M4q Mixed-precision Mlx Moe Mtp Mtplx Multimodal Oq Quantization Quantized Qwen3.8 Qwen4 exp Reap Region:us Ru Safetensors Self-distillation Sharded Speculative-decoding Tensorflow Vision

Model Card on HF 🤗: https://huggingface.co/Litwein/Qwen3.8-Flash-Next-REAP320-oQ3e-fp16-DWQ-MTP-Vision-MTPLX

Qwen3.8 Flash Next REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX Parameters and Internals

LLM Name	Qwen3.8 Flash Next REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX
Repository 🤗	https://huggingface.co/Litwein/Qwen3.8-Flash-Next-REAP320-oQ3e-fp16-DWQ-MTP-Vision-MTPLX
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	80.9b
Required VRAM	37.1 GB
Updated	2026-09-20
Maintainer	Litwein
Model Type	qwen4_exp
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-7 5.3 GB: 2-of-7 5.3 GB: 3-of-7 5.3 GB: 4-of-7 5.3 GB: 5-of-7 5.3 GB: 6-of-7 5.3 GB: 7-of-7 1.8 GB 1.8 GB 32.0 GB
Supported Languages	en ru
Quantization Type	fp16
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 REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX 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 REAP320 OQ3e Fp16 DWQ MTP Vision MTPLX

Best Alternatives	Context / RAM	Downloads	Likes
...P320 OQ3e DWQ MTP Vision MTPLX	0K / 37.1 GB	429	4

Note: green Score (e.g. "73.2") means that the model is better than Litwein/Qwen3.8-Flash-Next-REAP320-oQ3e-fp16-DWQ-MTP-Vision-MTPLX.