Update README.md

README.md

@@ -56,7 +56,7 @@ You can run Lightning-1.7B using the `transformers` library.
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "Your-Org/Lightning-1.7B"
+model_name = "TitleOS/Lightning-1.7B"
 
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(
@@ -85,7 +85,14 @@ outputs = model.generate(
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 # Output: "movie guy lives in computer takes red pill matrix plot"
 ```
-  
+
+Merged FP16 and Quantizations:
+
+FP16: https://huggingface.co/TitleOS/Lightning-1.7B
+
+Q4_K_M:https://huggingface.co/TitleOS/Lightning-1.7B-Q4_K_M-GGUF
+
+Q8: https://huggingface.co/TitleOS/Lightning-1.7B-Q8_0-GGUF
 
 📊 Performance & Benchmarks