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ibivibiv
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strix-rufipes-70b

Text Generation
Transformers
Safetensors
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logic
planning
Eval Results
text-generation-inference
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@@ -39,7 +39,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  torch.set_default_device("cuda")
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  model = AutoModelForCausalLM.from_pretrained("ibivibiv/strix-rufipes-70b", torch_dtype="auto", device_config='auto')
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- tokenizer = AutoTokenizer.from_pretrained("ibivibiv/strix-rufipes-70b", trust_remote_code=True)
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  inputs = tokenizer("### Instruction: Create a plan for developing the game of snake in python using pygame.\n### Response:\n", return_tensors="pt", return_attention_mask=False)
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  torch.set_default_device("cuda")
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  model = AutoModelForCausalLM.from_pretrained("ibivibiv/strix-rufipes-70b", torch_dtype="auto", device_config='auto')
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+ tokenizer = AutoTokenizer.from_pretrained("ibivibiv/strix-rufipes-70b")
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  inputs = tokenizer("### Instruction: Create a plan for developing the game of snake in python using pygame.\n### Response:\n", return_tensors="pt", return_attention_mask=False)
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