support to disable exllama for gptq (#604)
* support to disable exllama for gptq * update property instead of item * fix config key
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@@ -2,7 +2,7 @@ base_model: TheBloke/Llama-2-7B-GPTQ
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base_model_config: TheBloke/Llama-2-7B-GPTQ
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base_model_config: TheBloke/Llama-2-7B-GPTQ
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is_llama_derived_model: false
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is_llama_derived_model: false
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gptq: true
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gptq: true
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gptq_bits: 4
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gptq_disable_exllama: true
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model_type: AutoModelForCausalLM
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model_type: AutoModelForCausalLM
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tokenizer_type: LlamaTokenizer
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tokenizer_type: LlamaTokenizer
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tokenizer_use_fast: true
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tokenizer_use_fast: true
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@@ -62,8 +62,6 @@ xformers_attention:
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flash_attention:
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flash_attention:
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sdp_attention:
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sdp_attention:
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flash_optimum:
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flash_optimum:
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gptq_groupsize:
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gptq_model_v1:
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warmup_steps: 100
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warmup_steps: 100
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eval_steps:
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eval_steps:
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save_steps:
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save_steps:
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@@ -196,6 +196,10 @@ def load_model(
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if not hasattr(model_config, "quantization_config"):
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if not hasattr(model_config, "quantization_config"):
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LOG.warning("model config does not contain quantization_config information")
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LOG.warning("model config does not contain quantization_config information")
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else:
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else:
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if cfg.gptq_disable_exllama is not None:
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model_config.quantization_config[
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"disable_exllama"
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] = cfg.gptq_disable_exllama
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model_kwargs["quantization_config"] = GPTQConfig(
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model_kwargs["quantization_config"] = GPTQConfig(
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**model_config.quantization_config
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**model_config.quantization_config
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)
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)
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