
# DPO of cloudyu/Mixtral_7Bx2_MoE

dataset : jondurbin/truthy-dpo-v0.1 

* metrics average 75.88 
* TruthfulQA 81.5 SOTA (2024-01-17)

gpu code example

```
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
import math

## v2 models
model_path = "cloudyu/Mixtral_7Bx2_MoE_DPO"

tokenizer = AutoTokenizer.from_pretrained(model_path, use_default_system_prompt=False)
model = AutoModelForCausalLM.from_pretrained(
    model_path, torch_dtype=torch.bfloat16, 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:")
```



{"license": "cc-by-nc-4.0", "tags": ["moe", "dpo"]}
transformers safetensors mixtral text-generation moe dpo license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us