enosislabs/aether-0.8b-cyber-gguf overview
EnosisLabs enosislabs aether 0.8b cyber GGUF Generated UTC: 2026 06 19T04:33:38.559311+00:00 Source Transformers repo: enosislabs/aether 0.8b cyber GGUF deploy…
Runs locally from ~516.8 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | enosislabs/aether-0.8b-cyber-gguf |
|---|---|
| Author | enosislabs |
| Pipeline | — |
| License | apache-2.0 |
| Base model | enosislabs/aether-0.8b-cyber |
| Last modified | 2026-06-19T04:33:54.000Z |
Model README
---
license: apache-2.0
library_name: gguf
base_model: enosislabs/aether-0.8b-cyber
language:
- en
tags:
- gguf
- llama-cpp
- ollama
- cybersecurity
- purple-team
- prism
model_name: enosislabs-aether-0.8b-cyber-gguf
---
EnosisLabs enosislabs-aether-0.8b-cyber GGUF
Generated UTC: 2026-06-19T04:33:38.559311+00:00
Source Transformers repo: enosislabs/aether-0.8b-cyber
GGUF deployment artifacts. Each quant lives in its own folder.
Quant Layout
q4_k_mq5_k_mq8_0
Quant Semantics
q2_k/: smallest, lowest memory, lowest fidelity.q4_k_m/: balanced low-power default.q5_k_m/: higher quality, more memory.q8_0/: largest, highest fidelity among generated GGUF files.
llama.cpp
./llama-cli \
-m q4_k_m/enosislabs-aether-0.8b-cyber.Q4_K_M.gguf \
-p "<|im_start|>user\nAnalyze this finding.<|im_end|>\n<|im_start|>assistant\n"
Usage Rider
Intended only for authorized security testing, defensive engineering, internal red-team labs,
and purple-team education.
Run enosislabs/aether-0.8b-cyber-gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models