Update README.md

README.md

@@ -35,7 +35,7 @@ You can run this model out to 32K context with alpha_rope set to 1.
 * I recommend using Quadratic Sampling (i.e. smoothing factor) for creative work. I think this version performs best with a smoothing factor close to 0.2.
 * I recommend using Min-P. Experiment to find your best setting. I find this model tolerates high Min-P settings rather nicely, but use whatever floats your boat.
 * You can enable dynamic temperature if you want, but that adds yet another variable to consider and I find it's unnecessary with you're already using Min-P and smoothing factor.
-* If you use Textgen WebUI as your backend, I recommend enabling the DRY sample settings to reduce repititions, otherwise some repitition penalty plus frequency penalty ought to do the trick.
+* If you use Textgen WebUI as your backend, I recommend enabling the DRY sampler settings to reduce repititions, otherwise some repitition penalty plus frequency penalty ought to do the trick.
   
 Experiment with any and all of the settings below! What suits my preferences may not suit yours.
 
@@ -466,10 +466,10 @@ dtype: float16
 ---
 name: new-dawn-llama3-70b-32K-v1.0
 models:
-  - model: /home/llm/mergequant/models/new-dawn-llama3-70b-v0.16-32K
-  - model: /home/llm/mergequant/models/new-dawn-llama3-70b-v0.18-32K
+  - model: new-dawn-llama3-70b-v0.16-32K
+  - model: new-dawn-llama3-70b-v0.18-32K
 merge_method: slerp
-base_model: /home/llm/mergequant/models/new-dawn-llama3-70b-v0.16-32K
+base_model: new-dawn-llama3-70b-v0.16-32K
 parameters:
   t:
     - value: 0.5