What are the hardware requirements for CYBER FROST 3.8 FP8?

CYBER FROST 3.8 FP8 requires approximately 63 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CYBER FROST 3.8 FP8 and how large is it?

CYBER FROST 3.8 FP8 is developed by Blackfrost-AI, 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 CYBER FROST 3.8 FP8?

CYBER FROST 3.8 FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CYBER FROST 3.8 FP8 by Blackfrost-AI — VRAM 63GB

Name: CYBER FROST 3.8 FP8
Author: Blackfrost-AI

CYBER FROST 3.8 FP8 is an open-source language model by Blackfrost-AI. Features: 180b LLM, VRAM: 63GB, License: other, LLM Explorer Score: 0.29.

Base model:blackfrost-ai/cyber... Base model:quantized:blackfros... Blue-team Conversational Cybersecurity Endpoints compatible Fp8 Image-text-to-text Moe Mtp Qwen Qwen4-exp Qwen4 exp Red-team Region:us Safetensors Security-research Sharded Speculative-decoding Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/Blackfrost-AI/CYBER-FROST-3.8-FP8

CYBER FROST 3.8 FP8 Parameters and Internals

LLM Name	CYBER FROST 3.8 FP8
Repository 🤗	https://huggingface.co/Blackfrost-AI/CYBER-FROST-3.8-FP8
Base Model(s)	Blackfrost-AI/CYBER-FROST-3.8-BF16 Blackfrost-AI/CYBER-FROST-3.8-BF16
Model Size	180b
Required VRAM	63 GB
Updated	2026-09-30
Maintainer	Blackfrost-AI
Model Type	qwen4_exp
Model Files	1.0 GB: 1-of-131 1.7 GB: 2-of-131 1.0 GB: 3-of-131 1.7 GB: 4-of-131 1.7 GB: 5-of-131 1.6 GB: 6-of-131 1.6 GB: 7-of-131 1.6 GB: 8-of-131 1.6 GB: 9-of-131 1.6 GB: 10-of-131 1.6 GB: 11-of-131 1.6 GB: 12-of-131 1.6 GB: 13-of-131 1.6 GB: 14-of-131 1.6 GB: 15-of-131 1.6 GB: 16-of-131 1.6 GB: 17-of-131 1.6 GB: 18-of-131 1.6 GB: 19-of-131 1.6 GB: 20-of-131 1.6 GB: 21-of-131 1.6 GB: 22-of-131 1.6 GB: 23-of-131 1.6 GB: 24-of-131 1.6 GB: 25-of-131 1.6 GB: 26-of-131 1.6 GB: 27-of-131 1.6 GB: 28-of-131 1.6 GB: 29-of-131 1.6 GB: 30-of-131 1.6 GB: 31-of-131 1.6 GB: 32-of-131 1.6 GB: 33-of-131 1.6 GB: 34-of-131 1.6 GB: 35-of-131 1.6 GB: 36-of-131 0.9 GB: 37-of-131 1.7 GB: 38-of-131 0.9 GB: 39-of-131 1.7 GB: 40-of-131 1.1 GB: 41-of-131
Model Architecture	Qwen4ExpForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

Rank the CYBER FROST 3.8 FP8 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 CYBER FROST 3.8 FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Flash Next	0K / 129.5 GB	4810	3918
Darwin 180B RSI	0K / 119 GB	353	94
Tinfield 1	0K / 129.5 GB	577	41
Qwen3.8 Flash Next FP8	0K / 65.7 GB	2219	117
CYBER FROST 3.8 BF16	0K / 124.3 GB	703	30
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	6043	22
Qwen3.8 Flash Next FP8	0K / 65.7 GB	185	30
Qwen3.8 Flash Next Nota NVFP4	0K / 18.7 GB	196	20
Qwen3.8 Flash Next W4A16	0K / 0.5 GB	541	6
...Next Dynamic OQ5e BF16 PLE Mtp	0K / 187.1 GB	233	2

Note: green Score (e.g. "73.2") means that the model is better than Blackfrost-AI/CYBER-FROST-3.8-FP8.