Update README.md

README.md

@@ -14,4 +14,208 @@ datasets:
 - m-a-p/CodeFeedback-Filtered-Instruction
 - m-a-p/Code-Feedback
 
----
+---
+Llama3.2-Agent.Hermes.Coder-3B (GGUF)
+
+📌 Model Overview
+
+Model Name: WithinUsAI/Llama3.2-Agent.Hermes.Coder-3B-gguf
+Organization: Within Us AI
+Base Model: NousResearch/Hermes-3-Llama-3.2-3B
+Architecture: LLaMA 3.2 (3B) + Hermes 3 fine-tuning
+Format: GGUF (quantized for local inference)
+Primary Focus: Agentic coding + structured reasoning
+
+This model is a Hermes-enhanced LLaMA 3.2 coder, optimized for agent workflows, structured outputs, and high-control instruction following in a compact 3B footprint.
+
+It blends:
+
+* LLaMA 3.2’s strong foundation
+* Hermes 3’s alignment + tool-use intelligence
+* WithinUsAI’s agentic coding focus
+
+⸻
+
+🧬 Architecture & Lineage
+
+Base Stack
+
+* Foundation: LLaMA 3.2 (3B parameter class)
+* Fine-Tune: Hermes 3 (Nous Research)
+* Conversion: GGUF via llama.cpp toolchain
+
+Hermes 3 is known for:
+
+* Strong instruction-following
+* Multi-turn conversation stability
+* Tool-use and function-calling capabilities
+* Improved reasoning and controllability  
+
+What WithinUsAI Adds
+
+This variant emphasizes:
+
+* Coding-first behavior
+* Agentic task execution
+* Structured outputs (JSON, functions, steps)
+
+⸻
+
+🧠 Core Design Philosophy
+
+This model operates like a disciplined junior engineer with a systems mindset 🧩💻
+
+Not just generating code…
+but thinking in steps, outputs, and actions.
+
+Design Goals:
+
+* High controllability (Hermes-style alignment)
+* Strong coding bias
+* Agent compatibility
+* Efficient local deployment
+
+⸻
+
+⚙️ Key Capabilities
+
+💻 Coding
+
+* Python, JavaScript, C++, and more
+* Function generation and refactoring
+* Debugging and structured fixes
+
+🤖 Agentic Behavior
+
+* Task decomposition
+* Step-by-step execution planning
+* Function calling / tool-use readiness
+
+🧠 Reasoning
+
+* Chain-of-thought style outputs
+* Logical breakdown of problems
+* Instruction precision
+
+📦 Structured Output
+
+* JSON generation
+* Schema-following responses
+* Deterministic formatting (strong Hermes trait)
+
+⸻
+
+📦 GGUF Format & Deployment
+
+Optimized for local inference and edge environments.
+
+Supported Runtimes:
+
+* llama.cpp
+* LM Studio
+* Ollama (GGUF-compatible builds)
+
+Typical Quantizations (3B):
+
+Quant	Size	Notes
+Q4_K_M	~2.0 GB	Best balance
+Q5_K_M	~2.3 GB	Higher quality
+Q8_0	~3.4 GB	Maximum fidelity
+
+Quantization enables large size reduction while maintaining usable performance, making local deployment practical.  
+
+⸻
+
+🚀 Intended Use
+
+✅ Ideal Use Cases
+
+* Local coding assistants
+* Agent frameworks (tool-calling pipelines)
+* Structured output systems (JSON APIs)
+* Autonomous coding workflows
+* Offline developer copilots
+
+⚠️ Limitations
+
+* 3B size limits deep reasoning vs larger models
+* Requires good prompt structure for best results
+* Tool execution must be handled externally
+
+⸻
+
+🛠️ Usage Example (llama.cpp)
+
+./main -m Llama3.2-Agent.Hermes.Coder-3B.Q4_K_M.gguf \
+  -p "Create a JSON schema and Python validator for user authentication." \
+  -n 512
+
+⸻
+
+🧪 Training & Methodology
+
+Within Us AI pipeline emphasizes:
+
+* Instruction-tuned coding datasets
+* Agentic workflow examples
+* Structured output training
+* Evaluation-driven refinement
+
+Data Sources
+
+* Proprietary Within Us AI datasets
+* Third-party datasets (no ownership claimed)
+* Focus areas:
+    * Code reasoning
+    * Tool usage patterns
+    * Step-by-step problem solving
+
+⸻
+
+📊 Expected Performance Profile
+
+Capability	Strength
+Coding	High
+Instruction following	Very High
+Structured output	Very High
+Reasoning depth	Moderate
+Efficiency	Very High
+
+⸻
+
+📜 License
+
+License Type: LLaMA 3 / Hermes 3 compatible licensing (inherits base restrictions)**
+
+Attribution Notes:
+
+* Base model: Meta (LLaMA 3.2)
+* Fine-tune: Nous Research (Hermes 3)
+* GGUF + optimization + methodology: Within Us AI
+* Third-party datasets used without ownership claims
+* Credit belongs to original creators
+
+⸻
+
+🙏 Acknowledgements
+
+* Meta (LLaMA 3 architecture)
+* Nous Research (Hermes 3 fine-tuning)
+* GGUF / llama.cpp ecosystem
+* Open-source AI community
+
+⸻
+
+🔗 Links
+
+* Model: https://huggingface.co/WithinUsAI/Llama3.2-Agent.Hermes.Coder-3B-gguf
+* Organization: https://huggingface.co/WithinUsAI
+
+⸻
+
+🧩 Closing Note
+
+This model feels like a precision tool in a small chassis ⚙️
+
+It doesn’t just answer…
+it organizes, structures, and executes.