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

Qwen3.8 Flash Next DERISKED NVFP4 requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.8 Flash Next DERISKED NVFP4 is developed by Blackfrost-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 DERISKED NVFP4?

Qwen3.8 Flash Next DERISKED NVFP4 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 DERISKED NVFP4 by Blackfrost-AI — VRAM 0.4GB

Name: Qwen3.8 Flash Next DERISKED NVFP4
Author: Blackfrost-AI

Qwen3.8 Flash Next DERISKED NVFP4 is an open-source language model by Blackfrost-AI. Features: 119.6b LLM, VRAM: 0.4GB, License: other, LLM Explorer Score: 0.27.

8-bit Base model:blackfrost-ai/qwen3... Base model:quantized:blackfros... Coding Conversational Derisked Fp8 Image-text-to-text Long-context Mixture-of-experts Model optimizer Modelopt Nvfp4 Public-research-preview Qwen Qwen-flash Qwen3.8 Qwen4 exp Red-teaming Region:us Research Safetensors Security-research Tool-calling Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/Blackfrost-AI/Qwen3.8-Flash-Next-DERISKED-NVFP4

Qwen3.8 Flash Next DERISKED NVFP4 Parameters and Internals

LLM Name	Qwen3.8 Flash Next DERISKED NVFP4
Repository 🤗	https://huggingface.co/Blackfrost-AI/Qwen3.8-Flash-Next-DERISKED-NVFP4
Base Model(s)	Blackfrost-AI/Qwen3.8-Flash-Next-DERISKED-BF16 Blackfrost-AI/Qwen3.8-Flash-Next-DERISKED-BF16
Model Size	119.6b
Required VRAM	0.4 GB
Updated	2026-10-19
Maintainer	Blackfrost-AI
Model Type	qwen4_exp
Model Files	0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 Flash Next DERISKED NVFP4 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 DERISKED NVFP4

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
...3.8 Flash Next Mixed NVFP4 FP8	0K / 0.1 GB	815	8
...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

Note: green Score (e.g. "73.2") means that the model is better than Blackfrost-AI/Qwen3.8-Flash-Next-DERISKED-NVFP4.