Update README.md

README.md

@@ -30,14 +30,15 @@ Nandine-7b represents a harmonious amalgamation of narrative skill, empathetic i
 
 **Key Features:**
 - **Narrative Excellence:** Drawing 55% of its prowess from Westlake-7B, Nandine-7b excels in crafting compelling narratives and engaging character dialogues.
-- **Diverse Expertise:** Benefits from the 35% contribution of speechless-mistral-six-in-one-7b, integrating insights from six advanced Mistral-7B models, covering areas like cognitive science, emotional intelligence, and social dynamics.
+- **Diverse Expertise:** Benefits from the 35% contribution of speechless-mistral-six-in-one-7b, integrating insights from six advanced Mistral-7B models.
 - **Human Connection:** Gains a 10% influence from Samantha-v2, fostering a warm, approachable demeanor, enhancing user interaction quality while adhering to ethical guidelines.
 
 **Intended Use:**
-Ideal for users seeking a versatile AI companion for creative writing, thoughtful discussions, and general assistance. Nandine-7b aims to provide a delightful, insightful, and emotionally resonant user experience.
+Ideal for users seeking a versatile AI companion for creative writing, thoughtful discussions, and general assistance.
 
 **Limitations:**
-While Nandine-7b excels in various domains, it may not perfectly replicate human nuances in certain complex emotional or contextual scenarios. Users should be aware of these limitations in highly specialized or sensitive topics.
+While Nandine-7b excels in various domains, it may not perfectly replicate human nuances in certain complex emotional or contextual scenarios. 
+
 
 ## Nous Benchmark
 |                          Model                          |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
@@ -93,4 +94,12 @@ pipeline = transformers.pipeline(
 
 outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 print(outputs[0]["generated_text"])
-```
+```
+
+## GGUF
+GGUF files are available at [Nandine-7b-GGUF](https://huggingface.co/sethuiyer/Nandine-7b-GGUF/tree/main)
+
+## Ollama
+Nandine is now available on Ollama. You can use it by running the command ```ollama run stuehieyr/nandine``` in your 
+terminal. If you have limited computing resources, check out this [video](https://www.youtube.com/watch?v=Qa1h7ygwQq8) to learn how to run it on 
+a Google Colab backend.