cf4167f1ee0660e71af09f4583d07fa1633b233e
Model: teilomillet/Potato-3B Source: Original Platform
license, language, widget
| license | language | widget | ||||||
|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
|
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.
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
Description