Update README.md

README.md

@@ -15,8 +15,8 @@ I also have 4bit GPTQ files for GPU inference available here: [TheBloke/alpaca-l
 `alpaca-lora-65B.ggml.q2_0.bin` | q2_0 | 2bit | 24.5GB | 27GB | Lowest RAM requirements, minimum quality | 
 `alpaca-lora-65B.ggml.q4_0.bin` | q4_0 | 4bit | 40.8GB | 43GB | Maximum compatibility |
 `alpaca-lora-65B.ggml.q4_2.bin` | q4_2 | 4bit | 40.8GB | 43GB | Best compromise between resources, speed and quality |
-`alpaca-lora-65B.ggml.q5_0.bin` | q5_0 | 4bit | 44.9GB | 47GB | Best compromise between resources, speed and quality |
-`alpaca-lora-65B.ggml.q5_1.bin` | q5_1 | 4bit | 49GB | 51GB | Best compromise between resources, speed and quality |
+`alpaca-lora-65B.ggml.q5_0.bin` | q5_0 | 5bit | 44.9GB | 47GB | Brand new 5bit method. Potentially higher quality than 4bit, at cost of slightly higher resources. |
+`alpaca-lora-65B.ggml.q5_1.bin` | q5_1 | 5bit | 49GB | 51GB | Brand new 5bit method. Slightly higher resource usage than q5_0. |
 
 * The q2_0 file requires the least resources, but does not have great quality compared to the others.
   * It's likely to be better to use a 30B model at 4bit vs a 65B model at 2bit.