* Add supports for loading rwkv models using from_pretrained api * Temporarily enable pr tests * Add RWKV in tests and more in-out pairs * Add rwkv for 512 tests * Make iterations smaller * Change back to nightly trigger
		
			
				
	
	
		
			23 lines
		
	
	
	
		
			778 B
		
	
	
	
		
			YAML
		
	
	
	
	
	
			
		
		
	
	
			23 lines
		
	
	
	
		
			778 B
		
	
	
	
		
			YAML
		
	
	
	
	
	
repo_id:
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  - 'mistralai/Mistral-7B-Instruct-v0.1'
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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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in_out_pairs:
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  - '32-32'
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  - '32-256'
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  - '32-512'
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  # - '1024-128'
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test_api:
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  # - "transformer_int4"
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  # - "native_int4"
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  # - "optimize_model"
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  # - "pytorch_autocast_bf16"
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  # - "ipex_fp16_gpu" # on Intel GPU
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  # - "transformer_int4_gpu"  # on Intel GPU
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  # - "optimize_model_gpu"  # on Intel GPU
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  # - "deepspeed_transformer_int4_cpu" # on Intel SPR Server
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  - "transformer_int4_gpu_win" # on Intel GPU for Windows (catch GPU peak memory)
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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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