Update README.md

README.md

@@ -24,7 +24,7 @@ This model is part of the **DeepBrainz-R1 Series**, built to deliver frontier-cl
 ## 🚀 Model Highlights
 
 - **Parameter Count:** ~2B
-- **Context Window:** 40,960 tokens
+- **Context Window:** up to 40,960 tokens (extended context; experimental)
 - **Specialization:** STEM Reasoning, Logic, Code Analysis
 - **Architecture:** Optimized Dense Transformer (Qwen2.5/3 Compatible)
 - **Deployment:** Ready for vLLM, TGI, and local inference
@@ -38,7 +38,8 @@ This model is part of the **DeepBrainz-R1 Series**, built to deliver frontier-cl
 - **Code Generation:** Writing and debugging algorithms.
 - **Structured Data Extraction:** Parsing and reasoning over unstructured text.
 
-> **Note:** This is a base reasoning model. For conversational chat, we recommend using a specific instruct template or fine-tuning on your domain data.
+> **Note:** This is a post-trained reasoning variant intended for evaluation and experimentation.  
+> It is not production-validated and is not optimized for open-ended conversational chat.
 
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@@ -65,6 +66,14 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
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+🏗️ Technical Summary
+
+This model has undergone post-training to enhance reasoning behavior and robustness under agentic workloads.
+
+Detailed post-training recipes and dataset compositions are not fully disclosed.
+
+---
+
 ## 🛡️ Limitations & Safety
 
 While this model demonstrates strong reasoning capabilities, it may still produce inaccurate information ("hallucinations"). Users should implement appropriate guardrails for production deployments.