* add batch 2&4 and exclude to perf_test * modify the perf-test&437 yaml * modify llm_performance_test.yml * remove batch 4 * modify check_results.py to support batch 2&4 * change the batch_size format * remove genxir * add str(batch_size) * change actual_test_casese in check_results file to support batch_size * change html highlight * less models to test html and html_path * delete the moe model * split batch html * split * use installing from pypi * use installing from pypi - batch2 * revert cpp * revert cpp * merge two jobs into one, test batch_size in one job * merge two jobs into one, test batch_size in one job * change file directory in workflow * try catch deal with odd file without batch_size * modify pandas version * change the dir * organize the code * organize the code * remove Qwen-MOE * modify based on feedback * modify based on feedback * modify based on second round of feedback * modify based on second round of feedback + change run-arc.sh mode * modify based on second round of feedback + revert config * modify based on second round of feedback + revert config * modify based on second round of feedback + remove comments * modify based on second round of feedback + remove comments * modify based on second round of feedback + revert arc-perf-test * modify based on third round of feedback * change error type * change error type * modify check_results.html * split batch into two folders * add all models * move csv_name * revert pr test * revert pr test --------- Co-authored-by: Yishuo Wang <yishuo.wang@intel.com>
		
			
				
	
	
		
			38 lines
		
	
	
		
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			1.3 KiB
		
	
	
	
		
			YAML
		
	
	
	
	
	
			
		
		
	
	
			38 lines
		
	
	
		
			No EOL
		
	
	
		
			1.3 KiB
		
	
	
	
		
			YAML
		
	
	
	
	
	
repo_id:
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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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  - 'THUDM/chatglm2-6b'
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  - 'THUDM/chatglm3-6b-4bit'
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  - 'tiiuae/falcon-7b-instruct-with-patch'
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  - 'mosaicml/mpt-7b-chat'
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  - 'redpajama/gptneox-7b-redpajama-bf16'
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  - 'bigcode/starcoder-15.5b-4bit'
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  - 'databricks/dolly-v1-6b'
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  - 'databricks/dolly-v2-7b'
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  - 'databricks/dolly-v2-12b'
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  - 'internlm/internlm-chat-7b'
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  - 'Qwen/Qwen-7B-Chat'
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  - 'BAAI/AquilaChat-7B'
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  - 'baichuan-inc/Baichuan2-7B-Chat'
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  - 'baichuan-inc/Baichuan2-13B-Chat-4bit'
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  - 'bigscience/bloomz-7b1'
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#  - 'fnlp/moss-moon-003-sft-4bit' # moss-moon-003-sft cannot work on transformers 4.34+
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  - 'mistralai/Mistral-7B-v0.1'
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local_model_hub: '/mnt/disk1/models'
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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: 2 # default to 1
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in_out_pairs:
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  - '32-32'
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  - '1024-128'
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  - '2048-256'
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test_api:
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  - "transformer_int4_gpu"  # on Intel GPU
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cpu_embedding: False # whether put embedding to CPU (only avaiable now for gpu win related test_api)
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exclude:
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  - 'bigcode/starcoder-15.5b-4bit:2048'
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  - 'databricks/dolly-v2-12b:2048'
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  - 'baichuan-inc/Baichuan2-13B-Chat-4bit:2048'
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  - 'bigscience/bloomz-7b1:2048' |