* Add transformer4.38.2 test to igpu benchmark (#11529) * add transformer4.38.1 test to igpu benchmark * use transformers4.38.2 & fix csv name error in 4.38 workflow * add model Yi-6B-Chat & remove temporarily most models --------- Co-authored-by: ATMxsp01 <shou.xu@intel.com> * filter some errorlevel (#11541) Co-authored-by: ATMxsp01 <shou.xu@intel.com> * Restore the temporarily removed models in iGPU-perf (#11544) * filter some errorlevel * restore the temporarily removed models in iGPU-perf --------- Co-authored-by: ATMxsp01 <shou.xu@intel.com> --------- Co-authored-by: Xu, Shuo <100334393+ATMxsp01@users.noreply.github.com> Co-authored-by: ATMxsp01 <shou.xu@intel.com>
		
			
				
	
	
		
			24 lines
		
	
	
	
		
			876 B
		
	
	
	
		
			YAML
		
	
	
	
	
	
			
		
		
	
	
			24 lines
		
	
	
	
		
			876 B
		
	
	
	
		
			YAML
		
	
	
	
	
	
repo_id:
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  - 'THUDM/chatglm3-6b'
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  - 'THUDM/glm-4-9b-chat'
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  - 'baichuan-inc/Baichuan2-7B-Chat'
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  - 'baichuan-inc/Baichuan2-13B-Chat'
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  - 'meta-llama/Llama-2-7b-chat-hf'
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  - 'meta-llama/Llama-2-13b-chat-hf'
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  - 'meta-llama/Meta-Llama-3-8B-Instruct'
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  - 'mistralai/Mistral-7B-Instruct-v0.2'
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  - 'openbmb/MiniCPM-1B-sft-bf16'
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  - 'openbmb/MiniCPM-2B-sft-bf16'
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  - 'deepseek-ai/deepseek-coder-7b-instruct-v1.5'
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  - '01-ai/Yi-6B-Chat'
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local_model_hub: 'path to your local model hub'
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warm_up: 1
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num_trials: 3
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num_beams: 1 # default to greedy search
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low_bit: 'sym_int4' # default to use 'sym_int4' (i.e. symmetric int4)
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batch_size: 1 # default to 1
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in_out_pairs:
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  - '1024-128'
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test_api:
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  - "transformer_int4_fp16_gpu_win" # on Intel GPU for Windows, use fp16 for non-linear layer
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cpu_embedding: True # whether put embedding to CPU (only avaiable now for gpu win related test_api)
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