Update main README with VRAM Matrix

README.md

@@ -26,6 +26,7 @@ The model weights are stored in separate branches. **Please switch to a branch t
 | 3.75 | h6 | [3.75bpw_h6](https://huggingface.co/DBMe/gemma-4-31B-it-qat-q4_0-unquantized-uncensored-heretic-exl3-mul1/tree/3.75bpw_h6) | 2312.4667 | N/A | N/A | N/A | N/A | N/A |
 | 4.0 | h6 | [4.0bpw_h6](https://huggingface.co/DBMe/gemma-4-31B-it-qat-q4_0-unquantized-uncensored-heretic-exl3-mul1/tree/4.0bpw_h6) | 2097.6864 | N/A | N/A | N/A | N/A | N/A |
 | 5.0 | h6 | [5.0bpw_h6](https://huggingface.co/DBMe/gemma-4-31B-it-qat-q4_0-unquantized-uncensored-heretic-exl3-mul1/tree/5.0bpw_h6) | 1995.7812 | N/A | N/A | N/A | N/A | N/A |
+| 6.0 | h6 | [6.0bpw_h6](https://huggingface.co/DBMe/gemma-4-31B-it-qat-q4_0-unquantized-uncensored-heretic-exl3-mul1/tree/6.0bpw_h6) | 1995.3135 | N/A | N/A | N/A | N/A | N/A |
 
 ¹ *Evaluated against WikiText-2 with ExLlamaV3 using a strided 512-token context window (-c 512) in llama.cpp parity mode (-g). Lower is better.*
 
@@ -52,7 +53,7 @@ These models are highly optimized for modern GPUs and can be run using:
 * **[ExLlamaV3 (Native)](https://github.com/turboderp-org/exllamav3):** Python library for custom integration.
 ### 📈 Perplexity Degradation Curve
 *(Lower is better)*
-![Perplexity Graph](https://huggingface.co/DBMe/gemma-4-31B-it-qat-q4_0-unquantized-uncensored-heretic-exl3-mul1/resolve/main/metrics_graph.png?v=42a47ed1)
+![Perplexity Graph](https://huggingface.co/DBMe/gemma-4-31B-it-qat-q4_0-unquantized-uncensored-heretic-exl3-mul1/resolve/main/metrics_graph.png?v=141af8f0)
 
 
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