Update README
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2 changed files with 16 additions and 16 deletions
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@ -119,14 +119,14 @@ parser.add_argument('--trust-remote-code', action='store_true', help="Set trust_
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parser.add_argument('--threads', type=int, default=0, help='Number of threads to use in llama.cpp.')
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# GPTQ
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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 LLaMA, OPT, and GPT-J 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 allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models.')
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parser.add_argument('--no-quant_attn', action='store_true', help='GPTQ: Disable quant attention for triton. If you encounter incoherent results try disabling this.')
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parser.add_argument('--no-warmup_autotune', action='store_true', help='GPTQ: Disable warmup autotune for triton.')
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parser.add_argument('--no-fused_mlp', action='store_true', help='GPTQ: Disable fused mlp for triton. If you encounter "Unexpected mma -> mma layout conversion" try disabling this.')
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parser.add_argument('--monkey-patch', action='store_true', help='GPTQ: Apply the monkey patch for using LoRAs with quantized models.')
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parser.add_argument('--wbits', type=int, default=0, help='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='Model type of pre-quantized model. Currently LLaMA, OPT, and GPT-J are supported.')
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parser.add_argument('--groupsize', type=int, default=-1, help='Group size.')
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parser.add_argument('--pre_layer', type=int, default=0, help='The number of layers to allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models.')
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parser.add_argument('--monkey-patch', action='store_true', help='Apply the monkey patch for using LoRAs with quantized models.')
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parser.add_argument('--no-quant_attn', action='store_true', help='(triton) Disable quant attention. If you encounter incoherent results try disabling this.')
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parser.add_argument('--no-warmup_autotune', action='store_true', help='(triton) Disable warmup autotune.')
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parser.add_argument('--no-fused_mlp', action='store_true', help='(triton) Disable fused mlp. If you encounter "Unexpected mma -> mma layout conversion" try disabling this.')
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# FlexGen
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parser.add_argument('--flexgen', action='store_true', help='Enable the use of FlexGen offloading.')
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