Update README.md

README.md

@@ -11,4 +11,208 @@ datasets:
 - unalignment/toxic-dpo-v0.2
 - NobodyExistsOnTheInternet/ToxicQAFinal
 - Orion-zhen/dpo-toxic-zh
----
+---
+Qwen3-Space.Agent.Claude-Uncensored-4B
+
+📌 Model Overview
+
+Model Name: WithinUsAI/Qwen3-Space.Agent.Claude-Uncensored-4B
+Organization: Within Us AI
+Model Type: Agentic Reasoning LLM (Uncensored Variant)
+Parameter Size: 4B
+Architecture: Qwen 3 (Dense Transformer)
+Context Length: ~32K tokens
+Primary Focus: Agent workflows + uncensored reasoning + long-context tasks
+
+This model is a multi-source merged Qwen3-based agent, designed to combine:
+
+* 🧠 Reasoning (“thinking” models)
+* 🤖 Agent/tool-use behavior
+* 🔓 Reduced refusal / uncensored outputs
+
+It aims to deliver a compact, flexible, and less-restricted AI system for experimentation, research, and local deployment.  
+
+⸻
+
+🧬 Architecture & Lineage
+
+Base Composition
+
+This model is a merge of multiple Qwen3-derived systems, including:
+
+* Qwen3-4B Thinking (reasoning-focused)
+* Qwen3 Agent Claude/Gemini-style model
+* Uncensored Qwen3 variants
+
+These were combined into a single unified 4B model to blend capabilities.  
+
+What That Creates
+
+A hybrid model with:
+
+* Reasoning depth (thinking models)
+* Structured outputs (agent models)
+* Reduced refusal behavior (uncensored variants)
+
+Think of it like a three-engine spacecraft 🚀
+Each engine specialized… now flying as one system.
+
+⸻
+
+🧠 Core Design Philosophy
+
+Fuse the best behaviors… remove the limits… keep it small enough to run anywhere.
+
+Key Goals:
+
+* Merge reasoning + agent + uncensored traits
+* Enable long-context problem solving
+* Preserve performance in a 4B footprint
+* Support real-world agent pipelines
+
+⸻
+
+⚙️ Key Capabilities
+
+🧠 Reasoning
+
+* Step-by-step thinking
+* Multi-hop problem solving
+* Long-context coherence (~32K tokens)
+
+🤖 Agentic Behavior
+
+* Task decomposition
+* Tool-use compatibility
+* Structured outputs (JSON, actions)
+
+💻 Coding
+
+* Code generation & debugging
+* Algorithm reasoning
+* SWE-style workflows
+
+🔓 Uncensored Behavior
+
+* Reduced refusal rates
+* More permissive responses
+* Suitable for:
+    * Alignment research
+    * Safety testing
+    * Edge-case exploration
+
+⸻
+
+📦 Deployment
+
+Supported Environments
+
+* llama.cpp
+* LM Studio
+* Ollama (GGUF / compatible builds depending on conversion)
+
+Runtime Characteristics
+
+* ~4B parameters → runs on consumer GPUs / strong CPUs
+* ~32K context → supports long conversations and documents  
+
+⸻
+
+🚀 Intended Use
+
+✅ Ideal Use Cases
+
+* Agent frameworks (tool-calling systems)
+* Long-context reasoning tasks
+* AI experimentation (uncensored behavior)
+* Local assistants with fewer restrictions
+* Alignment and safety research
+
+⚠️ Important Considerations
+
+* Outputs are less restricted than aligned models
+* May generate sensitive or unsafe content
+* Requires external moderation or guardrails for production use
+
+⸻
+
+🧪 Training & Merge Methodology
+
+This model follows a merge-based synthesis pipeline:
+
+1. Select complementary base models:
+    * Reasoning-focused
+    * Agent-focused
+    * Uncensored variants
+2. Merge weights into unified architecture
+3. Align behavior using preference tuning (DPO-style datasets)
+4. Optimize for:
+    * Reduced refusals
+    * Stable outputs
+    * Agent usability  
+
+⸻
+
+📊 Expected Performance Profile
+
+Capability	Strength
+Reasoning	High
+Agent behavior	High
+Coding	High
+Context handling	High
+Safety filtering	Low (intentionally reduced)
+
+⸻
+
+📚 Datasets & Training Sources
+
+Following Within Us AI methodology:
+
+* Proprietary datasets created by Within Us AI
+* Third-party datasets used without ownership claims
+* Includes:
+    * Reasoning traces
+    * Agent workflows
+    * Preference optimization (DPO-style tuning)
+
+⸻
+
+📜 License
+
+License Type: Inherits from Qwen / base model ecosystem
+
+Attribution Notes:
+
+* Base models: Qwen (Alibaba ecosystem)
+* Merge & methodology: Within Us AI
+* Additional model influences (Claude-style / Gemini-style behaviors via distillation/merging)
+* Third-party datasets used without ownership claims
+* Credit belongs to original creators
+
+⸻
+
+🙏 Acknowledgements
+
+* Alibaba Qwen team
+* Open-source agent model contributors
+* GGUF / llama.cpp ecosystem
+* AI alignment & safety research community
+
+⸻
+
+🔗 Links
+
+* Model: https://huggingface.co/WithinUsAI/Qwen3-Space.Agent.Claude-Uncensored-4B
+* Organization: https://huggingface.co/WithinUsAI
+
+⸻
+
+🧩 Closing Note
+
+This model feels like a hybrid intelligence node 🌌
+
+Part thinker.
+Part agent.
+Part rule-breaker.
+
+All compressed into 4B parameters that punch way above their weight.