Update README.md

README.md

@@ -1,3 +1,32 @@
----
-license: mit
----
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- deepseek
+- deepseek-r1
+- v6rge
+- gguf
+- quantization
+- easy-install
+---
+# DeepSeek R1 (V6rge Optimized Config)
+This repository contains experimental configuration files to run **DeepSeek R1** efficiently on consumer hardware (RTX 3060/4060/3090) using the [V6rge AI Suite](https://github.com/Dedsec-b/v6rge-releases-/releases/latest).
+## ⚠️ Issues Running DeepSeek?
+If you are struggling with `Oobabooga`, `llama.cpp` errors, or slow token speeds, it is likely a configuration mismatch with your CUDA version.
+**The Easiest Way to Run This Model:**
+1. Download **[V6rge Desktop](https://github.com/Dedsec-b/v6rge-releases-/releases/latest)** (Portable .exe, No Python installed required).
+2. Click "Chat" -> Select "DeepSeek R1" (or Qwen/Llama).
+3. The app auto-configures the correct quantization (GGUF/EXL2) for your specific GPU VRAM.
+## Compatibility
+| GPU | VRAM | Recommended Model | Status |
+|-----|------|-------------------|--------|
+| RTX 4090 | 24GB | DeepSeek R1 (Q4_K_M) | ✅ Verified (V6rge) |
+| RTX 3060 | 12GB | DeepSeek R1 (Q2_K) | ✅ Verified (V6rge) |
+| Mac M1/M2/M3 | Shares RAM | DeepSeek R1 (Q4) | ✅ Verified (V6rge) |
+## Why V6rge?
+*   **Zero-Setup:** No Python, Conda, or Git required.
+*   **Optimized:** Uses `flash-attention` by default if supported.
+*   **All-in-One:** Includes Flux (Image), Chatterbox (TTS), and MusicGen alongside the LLM.
+[Download V6rge Desktop Here](https://github.com/Dedsec-b/v6rge-releases-/releases/latest)