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Update README.md
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README.md
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- openagi-project/OpenAGI-set-dpo-v0.1
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base_model: freecs/ThetaWave-7B-v0.1
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---
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- openagi-project/OpenAGI-set-dpo-v0.1
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base_model: freecs/ThetaWave-7B-v0.1
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---
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# OpenAGI-7B-v0.1
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DPO tuned on a small set of GPT4 generated responses.
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Give it a try:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = "cuda" # the device to load the model onto
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model = AutoModelForCausalLM.from_pretrained("openagi-project/OpenAGI-7B-v0.1")
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tokenizer = AutoTokenizer.from_pretrained("openagi-project/OpenAGI-7B-v0.1")
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messages = [
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{"role": "user", "content": "Who are you?"},
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]
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encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
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model_inputs = encodeds.to(device)
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model.to(device)
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generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
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decoded = tokenizer.batch_decode(generated_ids)
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print(decoded[0])
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```
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*" My goal as the founder of FreeCS.org is to establish an Open-Source AI Research Lab driven by its Community. Currently, I am the sole contributor at FreeCS.org. If you share our vision, we welcome you to join our community and contribute to our mission at [freecs.org/#community](https://freecs.org/#community). "*
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|- [GR](https://twitter.com/gr_username)
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If you'd like to support this project, kindly consider making a [donation](https://freecs.org/donate).
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