Update README.md

README.md

@@ -35,14 +35,14 @@ Our core focus is **efficient reasoning distillation** — capturing complex cod
     *   Complex coding-agent trajectories and system-level debugging.
     *   High-efficiency inference on consumer hardware.
 
-### 🌟 Polaris-V1 (4B, upcoming)
+### 🌟 Polaris-V1 (4B)
 **Polaris-V1** is designed to redefine the boundaries of lightweight local intelligence. Engineered to deliver near-frontier capabilities within a highly efficient 4-billion parameter envelope, it bridges the gap between extreme context length and uncompromising reasoning quality.
 
 *   **Base Architecture:** Qwen3.5-4B
 *   **Context Window:** 1,592,638 tokens (1.5M+ context utilizing precision-focused YaRN-scaling)
 *   **Core Capabilities:**
     *   **Extreme-Scale Retrieval:** Flawless "Needle in a Haystack" performance across millions of tokens, making it capable of analyzing entire multi-repo codebases in a single prompt.
-    *   **Premium 2026 Distillation:** Fine-tuned on a state-of-the-art dataset distilled from elite frontier models (including GPT-5.5, Claude Fable 5, and Gemini 3.1 Pro), bypassing outdated GPT-3.5/4 patterns entirely.
+    *   **Premium 2026 Distillation:** Fine-tuned on a state-of-the-art dataset distilled from elite frontier models (including Kimi K3, Qwen3.8), bypassing outdated GPT-3.5/4 patterns entirely.
     *   **Interactive ChatML Workflows:** Fully conversational agentic reasoning, moving beyond simple text completion into highly precise, multi-turn system debugging and instruction-following.
     *   **Hardware-Optimized Local Run:** Specifically tailored for lightning-fast local inference on consumer GPUs using optimized custom kernels and native bfloat16 execution.