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@@ -52,7 +52,8 @@ settings = {
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'default': 'Common sense questions and answers\n\nQuestion: \nFactual answer:',
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'^(gpt4chan|gpt-4chan|4chan)': '-----\n--- 865467536\nInput text\n--- 865467537\n',
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'(rosey|chip|joi)_.*_instruct.*': 'User: \n',
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- 'oasst-*': '<|prompter|>Write a story about future of AI development<|endoftext|><|assistant|>'
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+ 'oasst-*': '<|prompter|>Write a story about future of AI development<|endoftext|><|assistant|>',
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+ 'alpaca-*': "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n### Instruction:\nWrite a poem about the transformers Python library. \nMention the word \"large language models\" in that poem.\n### Response:\n",
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},
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'lora_prompts': {
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'default': 'Common sense questions and answers\n\nQuestion: \nFactual answer:',
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@@ -78,10 +79,15 @@ parser.add_argument('--chat', action='store_true', help='Launch the web UI in ch
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parser.add_argument('--cai-chat', action='store_true', help='Launch the web UI in chat mode with a style similar to Character.AI\'s. If the file img_bot.png or img_bot.jpg exists in the same folder as server.py, this image will be used as the bot\'s profile picture. Similarly, img_me.png or img_me.jpg will be used as your profile picture.')
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parser.add_argument('--cpu', action='store_true', help='Use the CPU to generate text.')
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parser.add_argument('--load-in-8bit', action='store_true', help='Load the model with 8-bit precision.')
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-parser.add_argument('--load-in-4bit', action='store_true', help='DEPRECATED: use --gptq-bits 4 instead.')
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-parser.add_argument('--gptq-bits', type=int, default=0, help='GPTQ: Load a pre-quantized model with specified precision. 2, 3, 4 and 8bit are supported. Currently only works with LLaMA and OPT.')
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-parser.add_argument('--gptq-model-type', type=str, help='GPTQ: Model type of pre-quantized model. Currently only LLaMa and OPT are supported.')
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-parser.add_argument('--gptq-pre-layer', type=int, default=0, help='GPTQ: The number of layers to preload.')
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+
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+parser.add_argument('--gptq-bits', type=int, default=0, help='DEPRECATED: use --wbits instead.')
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+parser.add_argument('--gptq-model-type', type=str, help='DEPRECATED: use --model_type instead.')
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+parser.add_argument('--gptq-pre-layer', type=int, default=0, help='DEPRECATED: use --pre_layer instead.')
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+parser.add_argument('--wbits', type=int, default=0, help='GPTQ: Load a pre-quantized model with specified precision in bits. 2, 3, 4 and 8 are supported.')
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+parser.add_argument('--model_type', type=str, help='GPTQ: Model type of pre-quantized model. Currently only LLaMA and OPT are supported.')
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+parser.add_argument('--groupsize', type=int, default=-1, help='GPTQ: Group size.')
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+parser.add_argument('--pre_layer', type=int, default=0, help='GPTQ: The number of layers to preload.')
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+
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parser.add_argument('--bf16', action='store_true', help='Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU.')
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parser.add_argument('--auto-devices', action='store_true', help='Automatically split the model across the available GPU(s) and CPU.')
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parser.add_argument('--disk', action='store_true', help='If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk.')
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@@ -109,6 +115,8 @@ parser.add_argument('--verbose', action='store_true', help='Print the prompts to
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args = parser.parse_args()
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# Provisional, this will be deleted later
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-if args.load_in_4bit:
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- print("Warning: --load-in-4bit is deprecated and will be removed. Use --gptq-bits 4 instead.\n")
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- args.gptq_bits = 4
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+deprecated_dict = {'gptq_bits': ['wbits', 0], 'gptq_model_type': ['model_type', None], 'gptq_pre_layer': ['prelayer', 0]}
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+for k in deprecated_dict:
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+ if eval(f"args.{k}") != deprecated_dict[k][1]:
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+ print(f"Warning: --{k} is deprecated and will be removed. Use --{deprecated_dict[k][0]} instead.")
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+ exec(f"args.{deprecated_dict[k][0]} = args.{k}")
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oobabooga