31 lines
992 B
Markdown
31 lines
992 B
Markdown
|
---
|
||
|
|
license: apache-2.0
|
||
|
|
---
|
||
|
|
## llama-2-7b-miniguanaco
|
||
|
|
|
||
|
|
This is my first model, with LLama-2-7b model finetuned with miniguanaco datasets.
|
||
|
|
|
||
|
|
This is a simple finetune based off a Google Colab notebook. Finetune instructions were from Labonne's first tutorial.
|
||
|
|
|
||
|
|
To run it:
|
||
|
|
import torch
|
||
|
|
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||
|
|
import math
|
||
|
|
|
||
|
|
model_path = "decruz07/llama-2-7b-miniguanaco"
|
||
|
|
|
||
|
|
tokenizer = AutoTokenizer.from_pretrained(model_path, use_default_system_prompt=False)
|
||
|
|
model = AutoModelForCausalLM.from_pretrained(
|
||
|
|
model_path, torch_dtype=torch.float32, device_map='auto',local_files_only=False, load_in_4bit=True
|
||
|
|
)
|
||
|
|
print(model)
|
||
|
|
prompt = input("please input prompt:")
|
||
|
|
while len(prompt) > 0:
|
||
|
|
input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to("cuda")
|
||
|
|
|
||
|
|
generation_output = model.generate(
|
||
|
|
input_ids=input_ids, max_new_tokens=500,repetition_penalty=1.2
|
||
|
|
)
|
||
|
|
print(tokenizer.decode(generation_output[0]))
|
||
|
|
prompt = input("please input prompt:")
|