What are the hardware requirements for Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix?

Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix requires approximately 1.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix and how large is it?

Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix is developed by dicksondickson, a model with 119.6b 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 NVFP4 Reshard Mtp Fix?

Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix 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 NVFP4 Reshard Mtp Fix by dicksondickson — VRAM 1.1GB

Name: Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix
Author: dicksondickson

Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix is an open-source language model by dicksondickson. Features: 119.6b LLM, VRAM: 1.1GB, License: mit, LLM Explorer Score: 0.27.

8-bit Base model:nvidia/qwen3.8-flas... Base model:quantized:nvidia/qw... Conversational En Fp4 Image-text-to-text Modelopt Mtp Nvfp4 Nvidia Qwen3.8 Qwen3.8-next-flash Qwen4 exp Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/dicksondickson/Qwen3.8-Flash-Next-NVFP4-reshard-mtp-fix

Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix Parameters and Internals

LLM Name	Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix
Repository 🤗	https://huggingface.co/dicksondickson/Qwen3.8-Flash-Next-NVFP4-reshard-mtp-fix
Base Model(s)	nvidia/Qwen3.8-Flash-Next-NVFP4 nvidia/Qwen3.8-Flash-Next-NVFP4
Model Size	119.6b
Required VRAM	1.1 GB
Updated	2026-09-08
Maintainer	dicksondickson
Model Type	qwen4_exp
Model Files	1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB
Supported Languages	en
Model Architecture	Qwen4ExpForConditionalGeneration
License	mit
Transformers Version	5.16.0.dev0

Rank the Qwen3.8 Flash Next NVFP4 Reshard Mtp Fix 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 NVFP4 Reshard Mtp Fix

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Flash Next NVFP4	0K / 78.9 GB	13321	114
CYBER FROST 3.8 NVFP4 V2	0K / 104.7 GB	677	15
Qwen3.8 Flash Next NVFP4	0K / 0.4 GB	2297	40
Qwen3.8 Flash Next NVFP4	0K / 1.4 GB	7533	10
...8 Flash Next ABLITERATED NVFP4	0K / 0.4 GB	1434	12
...Flash Next CYBERSECURITY NVFP4	0K / 0.4 GB	996	6
...wen3.8 Flash Next NVFP4 FP8PLE	0K / 1.6 GB	151	2
...3.8 Flash Next Mixed NVFP4 FP8	0K / 0.1 GB	815	8
Qwen3.8 Flash Next NVFP4 FP8	0K / 0.4 GB	316	4
...xt RadixArk NVFP4 Hybrid Sharp	0K / 0.4 GB	329	1

Note: green Score (e.g. "73.2") means that the model is better than dicksondickson/Qwen3.8-Flash-Next-NVFP4-reshard-mtp-fix.