Clarify CORE (tooling) vs Apex (reasoning) model lineup, add CORE-Ultra links

README.md

@@ -7,15 +7,39 @@ sdk: static
 pinned: false
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-# BugTraceAI 
+# BugTraceAI
 
-BugTraceAI provides fine-tuned language models and tools designed for application security validation, authorized web pentesting, and security engineering.
+BugTraceAI provides fine-tuned language models designed for application security validation, authorized web pentesting, security engineering, and offensive security research.
 
-## Core Models
+The model lineup is split into two distinct families with different purposes:
 
-- **BugTraceAI-CORE-Fast**: A fast, low-latency model tuned for triage, log summarization, and quick finding analysis.
-- **BugTraceAI-CORE-Pro**: A higher-capacity model for long-context investigation, report drafting, exploit-chain review, and remediation planning.
-- **BugTraceAI-Apex-G4-26B-Q4**: The Apex Predator of offensive security reasoning. A 26B Mixture-of-Experts model fine-tuned via DPO on elite bug bounty reports, malware methodologies, and WAF evasion techniques, featuring an injected Opus-style reasoning engine.
+---
+
+## 🔧 CORE — Tooling Models
+
+CORE models are built for **integration into pipelines, agents, and automated workflows**. They follow instructions precisely, produce structured output (JSON, templates, PoC skeletons), and are optimized for tool use — not open-ended reasoning.
+
+| Model | Size | Best For |
+|---|---|---|
+| **BugTraceAI-CORE-Fast** | Small | Triage, log summarization, quick finding analysis |
+| **BugTraceAI-CORE-Pro** | Medium | Long-context investigation, report drafting, exploit-chain review |
+| **BugTraceAI-CORE-Ultra** | 27B (Q4/Q6) | Complex tool calls, structured PoC generation, multi-step agentic tasks |
+
+> Use CORE models when you need reliable, structured output that feeds into a pipeline or automation layer.
+
+---
+
+## 🌋 Apex — Reasoning Model
+
+Apex is built for **deep offensive security reasoning**. It thinks through problems step by step inside a `<thinking>` block before producing its answer, making it ideal for tasks where understanding *why* matters as much as the output itself.
+
+| Model | Architecture | Best For |
+|---|---|---|
+| **BugTraceAI-G4-Apex** | 26B MoE (Gemma 4) | Exploit chain design, MITRE ATT&CK reasoning, C2 architecture, WAF evasion research |
+
+> Use Apex when you need the model to reason deeply about a problem rather than execute a structured task.
+
+---
 
 ## What the Framework Focuses On
 
@@ -32,7 +56,9 @@ BugTraceAI systems are intended for authorized security work, defensive research
 ## Links
 
 - Organization: https://huggingface.co/BugTraceAI
-- Apex model: https://huggingface.co/BugTraceAI/BugTraceAI-Apex-G4-26B-Q4
-- Fast model: https://huggingface.co/BugTraceAI/BugTraceAI-CORE-Fast
-- Pro model: https://huggingface.co/BugTraceAI/BugTraceAI-CORE-Pro
+- Apex (reasoning): https://huggingface.co/BugTraceAI/BugTraceAI-Apex-G4-26B-Q4
+- CORE Ultra Q4 (tooling): https://huggingface.co/BugTraceAI/BugTraceAI-CORE-Ultra-27B-Q4
+- CORE Ultra Q6 (tooling): https://huggingface.co/BugTraceAI/BugTraceAI-CORE-Ultra-27B-Q6
+- CORE Fast (tooling): https://huggingface.co/BugTraceAI/BugTraceAI-CORE-Fast
+- CORE Pro (tooling): https://huggingface.co/BugTraceAI/BugTraceAI-CORE-Pro
 - Website: https://bugtraceai.com