Nitishsharma9/CyberNexus-14B-GGUF overview
CyberNexus 14B GGUF GGUF quantizations of Qwen3.6 14B A3B FableVibes, a 14B MoE model fine tuned on reasoning traces and strictly optimized for incredibly fast…
Runs locally from ~4.96 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| FableVibes-14B-Q2_K.gguf | GGUF | Q2_K | 4.96 GB | Download |
| FableVibes-14B-Q3_K_M.gguf | GGUF | Q3_K_M | 6.30 GB | Download |
| FableVibes-14B-Q4_K_M.gguf | GGUF | Q4_K_M | 7.88 GB | Download |
| FableVibes-14B-Q5_K_M.gguf | GGUF | Q5_K_M | 9.18 GB | Download |
| FableVibes-14B-Q6_K.gguf | GGUF | Q6_K | 10.55 GB | Download |
| FableVibes-14B-Q8_0.gguf | GGUF | Q8_0 | 13.65 GB | Download |
Model Details
| Model ID | Nitishsharma9/CyberNexus-14B-GGUF |
|---|---|
| Author | Nitishsharma9 |
| Pipeline | — |
| License | apache-2.0 |
| Base model | — |
| Last modified | 2026-07-12T21:32:08.000Z |
Model README
---
license: apache-2.0
tags:
- qwen
- 14b
- gguf
- cybersecurity
- ethical-hacking
- code-completion
- fim
---
CyberNexus-14B-GGUF
GGUF quantizations of Qwen3.6-14B-A3B-FableVibes, a 14B MoE model fine-tuned on reasoning traces and strictly optimized for incredibly fast Python scripting, Fill-in-the-Middle (FIM) code completion, Ethical Hacking, and Cybersecurity operations.
Background
This model started as a highly capable base and was pruned down to ~14B active parameters, removing over half its expert capacity. A single QLoRA pass was then orchestrated entirely by an autonomous AI agent, utilizing ~4,600 raw reasoning traces from Claude Fable 5 to recover capabilities lost during pruning.
Rather than focusing strictly on agentic orchestration, this model serves as a general-purpose reasoning distill specifically tailored for offensive and defensive security contexts. The Fable CoT traces provide structured multi-step reasoning patterns from a frontier-class model, distilled into a footprint that can run on consumer hardware.
Core Capabilities:
- ⚡ Lightning Fast Python Scripting: Optimized to generate robust, production-ready Python tools in milliseconds.
- 🛡️ Ethical Hacking & Cyber Security: Deep knowledge of vulnerability assessment, penetration testing patterns, and defensive engineering.
- 🔄 Fill-in-the-Middle (FIM): Native support for seamless code completion right inside your IDE.
Hardware compatibility
| Quantization | Bits | File Size (Est.) | RAM Required |
| --- | --- | --- | --- |
| Q2_K | 2-bit | ~5.32 GB | ~7 GB |
| Q3_K_M | 3-bit | ~6.77 GB | ~9 GB |
| Q4_K_M | 4-bit | ~8.47 GB | ~10.5 GB |
| Q5_K_M | 5-bit | ~9.85 GB | ~12 GB |
| Q6_K | 6-bit | ~11.3 GB | ~13.5 GB |
| Q8_0 | 8-bit | ~14.7 GB | ~17 GB |
Run Nitishsharma9/CyberNexus-14B-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models