Update README.md

README.md

@@ -8,9 +8,9 @@ tags:
 inference: true
 ---
 
-# kkLLM v0.1
+# kkOracle v0.1
 
-kkLLM v0.1 is a LORA fine-tuned version of [Meltemi 7B Instruct v1.5](https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1.5) using a synthetic dataset based on text from the daily greek newspaper "Rizospastis" covering the timespan from 2008 to 2024.
+kkOracle v0.1 is a LORA fine-tuned version of [Meltemi 7B Instruct v1.5](https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1.5) using a synthetic dataset based on text from the daily greek newspaper "Rizospastis" covering the timespan from 2008 to 2024.
 
 
 # Running the model with mlx on a Mac
@@ -20,7 +20,7 @@ pip install mlx-lm
 ```
 
 ```
-python -m mlx_lm.generate --model model_kkLLM --prompt "Καλημέρα!" --temp 0.3
+python -m mlx_lm.generate --model model_kkOracle --prompt "Καλημέρα!" --temp 0.3
 ```
 
 
@@ -31,8 +31,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 
 device = "cuda" # or "cpu"
 
-model = AutoModelForCausalLM.from_pretrained("model_kkLLM")
-tokenizer = AutoTokenizer.from_pretrained("model_kkLLM")
+model = AutoModelForCausalLM.from_pretrained("model_kkOracle")
+tokenizer = AutoTokenizer.from_pretrained("model_kkOracle")
 
 model.to(device)