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Update app.py
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app.py
CHANGED
@@ -21,7 +21,8 @@ from transformers import LlamaForCausalLM, LlamaTokenizer
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#base_model = "project-baize/baize-v2-7b" #load_8bit = False (in load_tokenizer_and_model)
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#base_model = "meta-llama/Llama-2-13b"
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#base_model="codellama/CodeLlama-13b-Instruct-hf"
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-
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#base_model = "MAGAer13/mPLUG-Owl" #load_8bit = False (in load_tokenizer_and_model)
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#base_model = "alexkueck/li-tis-tuned-2" #load_8bit = False (in load_tokenizer_and_model)
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#base_model = "TheBloke/airoboros-13B-HF" #load_8bit = False (in load_tokenizer_and_model)
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@@ -32,6 +33,8 @@ base_model = "tiiuae/falcon-40b-instruct"
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#base_model = "TheBloke/airoboros-65B-gpt4-1.3-GPTQ" #model_basename = "airoboros-65b-gpt4-1.3-GPTQ-4bit--1g.act.order"
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#base_model = "lmsys/vicuna-13b-v1.3"
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#base_model = "gpt2-xl" # options: ['gpt2', 'gpt2-medium', 'gpt2-large', 'gpt2-xl']
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####################################
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#Model und Tokenzier laden
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#base_model = "project-baize/baize-v2-7b" #load_8bit = False (in load_tokenizer_and_model)
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#base_model = "meta-llama/Llama-2-13b"
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#base_model="codellama/CodeLlama-13b-Instruct-hf"
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#########latest ###########
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#base_model = "tiiuae/falcon-40b-instruct"
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#base_model = "MAGAer13/mPLUG-Owl" #load_8bit = False (in load_tokenizer_and_model)
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#base_model = "alexkueck/li-tis-tuned-2" #load_8bit = False (in load_tokenizer_and_model)
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#base_model = "TheBloke/airoboros-13B-HF" #load_8bit = False (in load_tokenizer_and_model)
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#base_model = "TheBloke/airoboros-65B-gpt4-1.3-GPTQ" #model_basename = "airoboros-65b-gpt4-1.3-GPTQ-4bit--1g.act.order"
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#base_model = "lmsys/vicuna-13b-v1.3"
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#base_model = "gpt2-xl" # options: ['gpt2', 'gpt2-medium', 'gpt2-large', 'gpt2-xl']
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base_model = "mistralai/Mistral-7B-v0.1"
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####################################
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#Model und Tokenzier laden
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