Update README.md

README.md

@@ -62,7 +62,7 @@ We would like to take this opportunity to thank
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
-model_id = "Local-Novel-LLM-project/Vecteus-v1"
+model_id = "Local-Novel-LLM-project/Vecteus-Forte"
 new_tokens = 1024
 
 model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True, torch_dtype=torch.float16, attn_implementation="flash_attention_2", device_map="auto")
@@ -79,14 +79,6 @@ generated_ids = model.generate(**model_inputs, max_new_tokens=new_tokens, do_sam
 print(tokenizer.batch_decode(generated_ids)[0])
 ````
 
-## Merge recipe
-  
-  
-  - VT0.1 = Ninjav1 + Original Lora
-  - VT0.2 = Ninjav1 128k + Original Lora
-  - VT0.2on0.1 = VT0.1 + VT0.2
-  
-  - VT1 = all VT Series + Lora + Ninja 128k and Normal
 
 ## Other points to keep in mind
 - The training data may be biased. Be careful with the generated sentences.