Crystalcareai
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Create README.md
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README.md
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```import torch
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from transformers import AutoTokenizer, TextStreamer, AutoModelForCausalLM
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model_path = "Crystalcareai/GemMoE-Medium-v0.5"
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# Load model
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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low_cpu_mem_usage=True,
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torch_dtype=torch.float16,
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attn_implementation="flash_attention_2"
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trust_remote_code=True,
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)
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
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# Convert prompt to tokens
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prompt_template = "[INST] {prompt} [/INST]"
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prompt = "You're standing on the surface of the Earth. "\
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"You walk one mile south, one mile west and one mile north. "\
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"You end up exactly where you started. Where are you?"
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tokens = tokenizer(
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prompt_template.format(prompt=prompt),
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return_tensors='pt'
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).input_ids.cuda()
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# Generate output
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generation_output = model.generate(
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tokens,
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streamer=streamer,
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max_new_tokens=512
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)```
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