初始化项目，由ModelHub XC社区提供模型

Model: teilomillet/Potato-3B
Source: Original Platform

README.md

@@ -0,0 +1,44 @@
+---
+license: apache-2.0
+language:
+- fr
+- en
+- zh
+widget:
+- text: "<s> [|User|] Comment faire un bon plat ? </s>[|Assistant|]"
+---
+Merging stuff to make a potato. Idk about it, might delete later. 
+
+Merge of MiniMerlin via Task arithmetic using mergekit. 
+There was no goal except merging. Interest in the outcome tho. I might need to fine-tune it more.
+
+FT on more french data (Merlin). 
+
+Je pense qu'il s'agit du meilleur model français en 3B. Essayez le.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+import torch
+
+model = AutoModelForCausalLM.from_pretrained(
+    "teilomillet/Potato-3B",
+    revision="0.1",
+    return_dict=True,
+    torch_dtype=torch.bfloat16,
+    device_map='auto'
+)
+
+tokenizer = AutoTokenizer.from_pretrained("teilomillet/Potato-3B")
+tokenizer.pad_token = tokenizer.eos_token
+
+text = "[|User|] Comment faire un bon plat ? </s>[|Assistant|]"
+inputs = tokenizer(text, return_tensors="pt").to(0)
+
+outputs = model.generate(**inputs, max_new_tokens=800)
+print(tokenizer.decode(outputs[0], skip_special_tokens=False))
+```
+
+
+
+#merge