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README.md
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@@ -36,6 +36,37 @@ for more accuracy and precision in general reasoning, QA and code.
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Demo :** Https://nextai.co.in
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### Model Sources
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https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2
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https://huggingface.co/Intel/neural-chat-7b-v3-3
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https://huggingface.co/HuggingFaceH4/zephyr-7b-beta
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https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B
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### Instructions to run the model
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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 = "nextai-team/Moe-4x7b-reason-code-qa"
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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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def generate_resposne(query):
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messages = [{"role": "user", "content": query}]
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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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return outputs[0]['generated_text']
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response = generate_resposne("How to start learning GenAI")
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print(response)
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<!-- Provide the basic links for the model. -->
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- **Demo :** Https://nextai.co.in
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