---
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)