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--- |
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license: apache-2.0 |
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datasets: |
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- Intel/orca_dpo_pairs |
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- nvidia/HelpSteer |
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- jondurbin/truthy-dpo-v0.1 |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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### Yi-9B-Forest-DPO |
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Introducing Yi-9B-Forest-DPO, a LLM fine-tuned with base model 01-ai/Yi-9B, using direct preference optimization. |
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This model showcases exceptional prowess across a spectrum of natural language processing (NLP) tasks. |
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A mixture of the following datasets was used for fine-tuning. |
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1. Intel/orca_dpo_pairs |
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2. nvidia/HelpSteer |
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3. jondurbin/truthy-dpo-v0.1 |
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💻 Usage |
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```python |
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!pip install -qU transformers bitsandbytes accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "abhishekchohan/Yi-9B-Forest-DPO" |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True}, |
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) |
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}] |
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
