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Change GPTQ triton default settings
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@ -230,9 +230,9 @@ Optionally, you can use the following command-line flags:
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| `--groupsize GROUPSIZE` | Group size. |
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| `--pre_layer PRE_LAYER` | The number of layers to allocate to the GPU. Setting this parameter enables CPU offloading for 4-bit models. |
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| `--monkey-patch` | Apply the monkey patch for using LoRAs with quantized models.
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| `--no-quant_attn` | (triton) Disable quant attention. If you encounter incoherent results try disabling this.
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| `--no-warmup_autotune` | (triton) Disable warmup autotune.
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| `--no-fused_mlp` | (triton) Disable fused mlp. If you encounter "Unexpected mma -> mma layout conversion" try disabling this.
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| `--quant_attn` | (triton) Enable quant attention.
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| `--warmup_autotune` | (triton) Enable warmup autotune.
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| `--fused_mlp` | (triton) Enable fused mlp.
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#### FlexGen
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@ -79,14 +79,14 @@ def _load_quant(model, checkpoint, wbits, groupsize=-1, faster_kernel=False, exc
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model.load_state_dict(torch.load(checkpoint), strict=False)
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if is_triton:
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if not shared.args.no_quant_attn:
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if shared.args.quant_attn:
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quant.make_quant_attn(model)
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if eval and not shared.args.no_fused_mlp:
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if eval and shared.args.fused_mlp:
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quant.make_fused_mlp(model)
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if not shared.args.no_warmup_autotune:
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if shared.args.warmup_autotune:
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quant.autotune_warmup_linear(model, transpose=not eval)
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if eval and not shared.args.no_fused_mlp:
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if eval and shared.args.fused_mlp:
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quant.autotune_warmup_fused(model)
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model.seqlen = 2048
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@ -124,9 +124,9 @@ parser.add_argument('--model_type', type=str, help='Model type of pre-quantized
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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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parser.add_argument('--quant_attn', action='store_true', help='(triton) Enable quant attention.')
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parser.add_argument('--warmup_autotune', action='store_true', help='(triton) Enable warmup autotune.')
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parser.add_argument('--fused_mlp', action='store_true', help='(triton) Enable fused mlp.')
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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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