NeuralPipe-7B-slerp-DPO

NeuralPipe-7B-slerp is a Direct Preference Optimized version of Samee-ur/NeuralPipe-7B-slerp. I performed Direct Preference Optimization on the Intel/orca_dpo_pairs dataset

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Samee-ur/NeuralPipe-7B-slerp-DPO"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
Downloads last month
112
Safetensors
Model size
7.24B params
Tensor type
FP16
Β·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for Samee-ur/NeuralPipe-7B-slerp-DPO

Quantizations
2 models

Dataset used to train Samee-ur/NeuralPipe-7B-slerp-DPO

Spaces using Samee-ur/NeuralPipe-7B-slerp-DPO 6