Update README.md

README.md

@@ -15,7 +15,7 @@ pipeline_tag: question-answering
 <img src="https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-v1-DPO2/resolve/main/fireball.JPG" width="200"/>
 
 
-# Fireball-12B-v1.3a Philosophers 
+# Fireball-12B-v1.13a Philosophers 
 This model is super fine-tune with philosophy in science, math, epistemology, to provide high quality responses(from first fine-tune) than Llama-3.1-8B and Google Gemma 2 9B.
 Super fine tuned with various datasets.
 
@@ -30,7 +30,7 @@ V1.3a benchmark will show later this quarter.
 Fine tuned with various datasets.
 
 
-# Model Card for Fireball-12B-v1.3a Philosophers
+# Model Card for Fireball-12B-v1.13a Philosophers
 
 The Heavy fine-tuned Mistral-Nemo-Base-2407 Large Language Model (LLM) is a pretrained generative text model of 12B parameters trained jointly by Mistral AI and NVIDIA, it significantly outperforms existing models smaller or similar in size.
 
@@ -121,7 +121,7 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 > [!TIP]
 > Unlike previous Mistral models, Mistral Nemo requires smaller temperatures. We recommend to use a temperature of 0.3.
 ## Note
-`EpistemeAI/Fireball-12B-v1.2` is a pretrained base model and therefore does not have any moderation mechanisms. Go to Guardrail/Moderation guide section for moderation guide
+`EpistemeAI/Fireball-12B-v1.13a` is a pretrained base model and therefore does not have any moderation mechanisms. Go to Guardrail/Moderation guide section for moderation guide