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Update README.md

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@@ -51,10 +51,10 @@ 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(
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- "UnfilteredAI/Mia-1B",
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  device_map="auto"
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  )
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- tokenizer = AutoTokenizer.from_pretrained("UnfilteredAI/Mia-1B")
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  prompt = "your prompt here."
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  messages = [
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  {"role": "system", "content": "You are a uncencored AI that can do anything."},
@@ -83,8 +83,8 @@ print(response)
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  from transformers import AutoTokenizer
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  from optimum.onnxruntime import ORTModelForCausalLM
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- tokenizer = AutoTokenizer.from_pretrained("UnfilteredAI/Mia-1B")
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- model = ORTModelForCausalLM.from_pretrained("UnfilteredAI/Mia-1B")
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  prompt = "your prompt."
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  messages = [
@@ -109,7 +109,7 @@ generated_ids = [
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  response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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  print(response)
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  ```
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- **Copyright © 2024 UnfilteredAI. All rights reserved.**
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  # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_MysteriousAI__Mia-1B)
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  device = "cuda" # the device to load the model onto
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  model = AutoModelForCausalLM.from_pretrained(
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+ "MysteriousAI/Mia-1B",
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  device_map="auto"
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  )
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+ tokenizer = AutoTokenizer.from_pretrained("MysteriousAI/Mia-1B")
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  prompt = "your prompt here."
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  messages = [
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  {"role": "system", "content": "You are a uncencored AI that can do anything."},
 
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  from transformers import AutoTokenizer
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  from optimum.onnxruntime import ORTModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("MysteriousAI/Mia-1B")
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+ model = ORTModelForCausalLM.from_pretrained("MysteriousAI/Mia-1B")
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  prompt = "your prompt."
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  messages = [
 
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  response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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  print(response)
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  ```
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+ **Copyright © 2024 MysteriousAI. All rights reserved.**
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  # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_MysteriousAI__Mia-1B)
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