What are the hardware requirements for Qwen3.8 Flash Next Mixed NVFP4 FP8?

Qwen3.8 Flash Next Mixed NVFP4 FP8 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 Flash Next Mixed NVFP4 FP8 and how large is it?

Qwen3.8 Flash Next Mixed NVFP4 FP8 is developed by primitive-ai, 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 Mixed NVFP4 FP8?

Qwen3.8 Flash Next Mixed NVFP4 FP8 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 Mixed NVFP4 FP8 by primitive-ai — VRAM 0.1GB

Name: Qwen3.8 Flash Next Mixed NVFP4 FP8
Author: primitive-ai

Qwen3.8 Flash Next Mixed NVFP4 FP8 is an open-source language model by primitive-ai. Features: 119.6b LLM, VRAM: 0.1GB, License: other, LLM Explorer Score: 0.29.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-flash-... Compressed-tensors Conversational Endpoints compatible Flash-next Fp8 Image-text-to-text Mixed-precision Nvfp4 Quantized Qwen3.8 Qwen4 exp Region:us Safetensors Single-gpu Speculative-decoding Vllm

Model Card on HF 🤗: https://huggingface.co/primitive-ai/Qwen3.8-Flash-Next-mixed-NVFP4-FP8

Qwen3.8 Flash Next Mixed NVFP4 FP8 Parameters and Internals

LLM Name	Qwen3.8 Flash Next Mixed NVFP4 FP8
Repository 🤗	https://huggingface.co/primitive-ai/Qwen3.8-Flash-Next-mixed-NVFP4-FP8
Base Model(s)	Qwen/Qwen3.8-Flash-Next Qwen/Qwen3.8-Flash-Next
Model Size	119.6b
Required VRAM	0.1 GB
Updated	2026-08-30
Maintainer	primitive-ai
Model Type	qwen4_exp
Model Files	1.0 GB 0.1 GB 6.6 GB 2.9 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB 1.4 GB
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 Flash Next Mixed NVFP4 FP8 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 Mixed NVFP4 FP8

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	1308	18
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
Qwen3.8 Flash Next NVFP4 FP8	0K / 0.4 GB	316	4
...xt RadixArk NVFP4 Hybrid Sharp	0K / 0.4 GB	329	1
...n3.8 Flash Next DERISKED NVFP4	0K / 0.4 GB	242	3

Note: green Score (e.g. "73.2") means that the model is better than primitive-ai/Qwen3.8-Flash-Next-mixed-NVFP4-FP8.